Programme scientifique

Comment concevoir des systèmes d’apprentissage fiables malgré l’incertitude ? Dans quatre axes complémentaires, l’ILLS étudie les fondements de l’apprentissage automatique, l’IA générative digne de confiance, les systèmes multi-agents et les applications en santé et dans les systèmes d’ingénierie critiques. L’évaluation, la protection de la vie privée et le déploiement responsable traversent ces travaux.

Axe I

Fondements de l’apprentissage automatique

Cet axe réunit statistique, optimisation et théorie de l’information pour déterminer quelles garanties restent valables lorsque les données sont rares, bruitées ou recueillies dans des conditions changeantes. Les équipes étudient les limites qu’imposent la quantité de données et la puissance de calcul, ainsi que les moyens de reconnaître une prédiction trop incertaine pour guider une décision.

Savoir quand s’abstenir

La prédiction sélective permet à un modèle de s’abstenir lorsque les éléments disponibles sont insuffisants. Les équipes étudient comment fixer ce seuil et vérifier que les estimations d’incertitude restent fiables lorsque les données évoluent.

Apprendre avec une information partielle

Un système qui choisit une action ignore souvent ce qu’auraient donné les autres options. Les équipes étudient ce qu’il peut apprendre malgré cette limite, même lorsque le résultat de l’action choisie se fait attendre.

Axe II

IA générative sûre et digne de confiance

Une réponse bien formulée peut contenir une affirmation que la source citée ne confirme pas. L’ILLS étudie comment rattacher chaque affirmation à des éléments vérifiables, évaluer le raisonnement d’un modèle et repérer la divulgation de données sensibles. Les travaux portent sur le texte, l’image et le son, y compris dans les systèmes qui consultent des documents externes avant de produire une réponse.

REGARDANRNSERC

Jackie Chi Kit Cheung (Université McGill) et Pablo Piantanida (CentraleSupélec) codirigent REGARD. Avec des équipes du CNRS, d’Aix-Marseille Université, de l’Université de Waterloo et d’Orange, ils étudient la fiabilité des systèmes d’IA générative en conditions réelles d’utilisation.

Détecter les fuites d’information

Le programme étudie dans quelles conditions une requête peut révéler des renseignements privés issus des données d’entraînement ou des documents consultés, et comment les mesures de protection influent sur l’utilité des réponses.

Axe III

IA multi-agents et modèles du monde et des agents

Les agents d’une équipe disposent rarement des mêmes informations. Échanger leurs observations prend du temps et mobilise de la bande passante. L’ILLS étudie comment ils choisissent les informations à partager et apprennent à anticiper les effets de leurs actions. Les modèles du monde servent à tester leurs stratégies lorsque l’environnement ou le comportement des autres agents change.

La communication entre agents apprenantsIVADO

Une collaboration entre l’Université Laval, McGill et le CNRS étudie la manière dont des agents communiquent pour coopérer tout en apprenant de leurs interactions.

Apprentissage par renforcement avec récompense différée

Un projet mené par McGill et le CNRS porte sur la prise de décision lorsque le retour d’information est tardif ou incomplet. Un agent doit parfois choisir sa prochaine action avant de connaître le résultat de la précédente.

Axe IV

Intelligence artificielle pour les systèmes de santé

Les performances d’un modèle peuvent varier lorsque le matériel d’imagerie change ou que le profil des patients évolue. L’ILLS associe des équipes de recherche et des cliniciens pour évaluer ces systèmes dans plusieurs établissements et groupes de patients, mesurer l’incertitude et suivre son évolution. Les travaux portent sur l’imagerie médicale, la réadaptation et l’aide à la décision clinique.

Des modèles de fondation pour le dépistage du cancer du seinFRQSHealth Data Hub

Un projet conjoint dirigé par Jose Dolz à l’ÉTS et Maria Vakalopoulou à CentraleSupélec étudie la contribution que pourraient apporter les modèles de fondation à la détection précoce du cancer du sein.

Suivre la progression des maladies

Le programme propose d’étudier l’évolution des fonctions cognitives et motrices dans les maladies d’Alzheimer et de Parkinson à partir de données réparties entre plusieurs établissements. Les prédictions seraient ensuite évaluées sur des données de suivi et auprès de nouvelles cohortes.

Financements et chaires de recherche

Ces chaires, organismes de financement et partenaires industriels soutiennent les travaux des membres de l’ILLS.

Chaires de recherche

Organismes et programmes de financement

Partenaires industriels

Publications

Parcourez les travaux selon les périodes de publication des membres, de 2022 à aujourd’hui. Les prépublications et versions publiées correspondantes sont regroupées.

Publications conjointes

Articles cosignés par des chercheurs et chercheuses rattachés à des établissements en France et au Canada, y compris hors de l’ILLS. 180 références.

2027 (2 références)
  1. CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification.

    Leo Fillioux, Stergios Christodoulidis, Paul-Henry Cournède, Maria Vakalopoulou, Jose Dolz

    Medical Image Computing and Computer Assisted Intervention - MICCAI 2026 - 29th International Conference, Strasbourg, France, September 27 - October 1, 2026, Proceedings, Part V, 2027.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/miccai/FilliouxCCVD26,
      author = {Leo Fillioux and Stergios Christodoulidis and Paul-Henry Cournède and Maria Vakalopoulou and Jose Dolz},
      title = {{CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification}},
      year = {2027},
      booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2026 - 29th International Conference, Strasbourg, France, September 27 - October 1, 2026, Proceedings, Part V},
      pages = {35--45},
      doi = {10.1007/978-3-032-38079-1_4},
      eprint = {2610.03142},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-032-38079-1_4}
    }
  2. Information Maximization for Long-Tailed Semi-Supervised Domain Generalization.

    Leo Fillioux, Omprakash Chakraborty, Quentin Gopée, Pierre Marza, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Ismail Ben Ayed, Jose Dolz

    Medical Image Computing and Computer Assisted Intervention - MICCAI 2026 - 29th International Conference, Strasbourg, France, September 27 - October 1, 2026, Proceedings, Part IV, 2027.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/miccai/FilliouxCGMCCVAD26,
      author = {Leo Fillioux and Omprakash Chakraborty and Quentin Gopée and Pierre Marza and Paul-Henry Cournède and Stergios Christodoulidis and Maria Vakalopoulou and Ismail Ben Ayed and Jose Dolz},
      title = {{Information Maximization for Long-Tailed Semi-Supervised Domain Generalization}},
      year = {2027},
      booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2026 - 29th International Conference, Strasbourg, France, September 27 - October 1, 2026, Proceedings, Part IV},
      pages = {262--272},
      doi = {10.1007/978-3-032-38072-2_26},
      eprint = {2603.08434},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-032-38072-2_26}
    }
2026 (47 références)
  1. Adaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions.

    Alexis Guichemerre, Banafsheh Karimian, Soufiane Belharbi, Natacha Gillet, Nicolas Thome, Pourya Shamsolmoali, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2603-12468,
      author = {Alexis Guichemerre and Banafsheh Karimian and Soufiane Belharbi and Natacha Gillet and Nicolas Thome and Pourya Shamsolmoali and Mohammadhadi Shateri and Luke McCaffrey and Eric Granger},
      title = {{Adaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions}},
      year = {2026},
      doi = {10.48550/ARXIV.2603.12468},
      eprint = {2603.12468},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2603.12468}
    }
  2. Are foundation models for computer vision good conformal predictors?

    Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz

    Trans. Mach. Learn. Res., 2026.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmlr/FilliouxSACVCD26,
      author = {Leo Fillioux and Julio Silva-Rodríguez and Ismail Ben Ayed and Paul-Henry Cournède and Maria Vakalopoulou and Stergios Christodoulidis and Jose Dolz},
      title = {{Are foundation models for computer vision good conformal predictors?}},
      year = {2026},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2026},
      eprint = {2412.06082},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=Kxdg98gZp4}
    }
  3. A Universal Source-Free Class Unlearning Framework via Synthetic Embeddings.

    Zahra Dehghani Tafti, Pablo Piantanida, Mohammadhadi Shateri

    Trans. Mach. Learn. Res., 2026.

    Article
    BibTeX
    @article{DBLP:journals/tmlr/TaftiPS26,
      author = {Zahra Dehghani Tafti and Pablo Piantanida and Mohammadhadi Shateri},
      title = {{A Universal Source-Free Class Unlearning Framework via Synthetic Embeddings}},
      year = {2026},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2026},
      url = {https://openreview.net/forum?id=Fb2sZ1eoVe}
    }
  4. BayesAdapter: Enhanced Uncertainty Estimation in CLIP Few-Shot Adaptation.

    Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz

    Int. J. Comput. Vis., 2026.

    Article arXiv
    BibTeX
    @article{DBLP:journals/ijcv/MoralesAlvarezCVPD26,
      author = {Pablo Morales-Álvarez and Stergios Christodoulidis and Maria Vakalopoulou and Pablo Piantanida and Jose Dolz},
      title = {{BayesAdapter: Enhanced Uncertainty Estimation in CLIP Few-Shot Adaptation}},
      year = {2026},
      journal = {Int. J. Comput. Vis.},
      volume = {134},
      number = {2},
      pages = {51},
      doi = {10.1007/S11263-025-02630-0},
      eprint = {2412.09718},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/s11263-025-02630-0}
    }
  5. BEACON: Behavior and Appearance Control for Subject-Specific Video Generation.

    Pokrzywa Baptiste, Nabyl Quignon, Yara Bahram, Muhammad Osama Zeeshan, Antitza Dantcheva, Eric Granger

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2609-13264,
      author = {Pokrzywa Baptiste and Nabyl Quignon and Yara Bahram and Muhammad Osama Zeeshan and Antitza Dantcheva and Eric Granger},
      title = {{BEACON: Behavior and Appearance Control for Subject-Specific Video Generation}},
      year = {2026},
      doi = {10.48550/ARXIV.2609.13264},
      eprint = {2609.13264},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2609.13264}
    }
  6. Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy.

    Ramon G. Gonze, Natasha Fernandes, Héber Hwang Arcolezi, Catuscia Palamidessi, Nataliia Bielova

    39th IEEE Computer Security Foundations Symposium, CSF 2026, Lisboa, Portugal, July 26-29, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/csfw/GonzeFAPB26,
      author = {Ramon G. Gonze and Natasha Fernandes and Héber Hwang Arcolezi and Catuscia Palamidessi and Nataliia Bielova},
      title = {{Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy}},
      year = {2026},
      booktitle = {39th IEEE Computer Security Foundations Symposium, CSF 2026, Lisboa, Portugal, July 26-29, 2026},
      pages = {483--496},
      doi = {10.1109/CSF68417.2026.00032},
      eprint = {2605.26465},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/11662323/}
    }
  7. Cache Management for Mixture-of-Experts LLMs.

    Spyros Angelopoulos, Loris Marchal, Adrien Obrecht, Bertrand Simon

    Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, Dresden, Germany, August 25-29, 2025, Proceedings, Part III, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/europar/AngelopoulosMOS25,
      author = {Spyros Angelopoulos and Loris Marchal and Adrien Obrecht and Bertrand Simon},
      title = {{Cache Management for Mixture-of-Experts LLMs}},
      year = {2026},
      booktitle = {Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, Dresden, Germany, August 25-29, 2025, Proceedings, Part III},
      pages = {18--32},
      doi = {10.1007/978-3-031-99872-0_2},
      eprint = {2509.02408},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-031-99872-0_2}
    }
  8. Class Adaptive Conformal Training.

    Badr-Eddine Marani, Julio Silva-Rodríguez, Ismail Ben Ayed, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2601-09522,
      author = {Badr-Eddine Marani and Julio Silva-Rodríguez and Ismail Ben Ayed and Maria Vakalopoulou and Stergios Christodoulidis and Jose Dolz},
      title = {{Class Adaptive Conformal Training}},
      year = {2026},
      doi = {10.48550/ARXIV.2601.09522},
      eprint = {2601.09522},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2601.09522}
    }
  9. CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition.

    Muhammad Osama Zeeshan, Masoumeh Sharafi, Benoît Savary, Alessandro Lameiras Koerich, Marco Pedersoli, Eric Granger

    Computer Vision - ECCV 2026 - 19th European Conference, Malmö, Sweden, September 8-12, 2026, Proceedings, Part LXI, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/eccv/ZeeshanSSKPG26,
      author = {Muhammad Osama Zeeshan and Masoumeh Sharafi and Benoît Savary and Alessandro Lameiras Koerich and Marco Pedersoli and Eric Granger},
      title = {{CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition}},
      year = {2026},
      booktitle = {Computer Vision - ECCV 2026 - 19th European Conference, Malmö, Sweden, September 8-12, 2026, Proceedings, Part LXI},
      pages = {680--698},
      doi = {10.1007/978-3-032-37095-2_37},
      eprint = {2603.27999},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-032-37095-2_37}
    }
  10. Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions.

    Sarthak Kumar Maharana, Shambhavi Mishra, Yunbei Zhang, Shuaicheng Niu, Taki Hasan Rafi, Jihun Hamm, Marco Pedersoli, Jose Dolz, Yunhui Guo

    Trans. Mach. Learn. Res., 2026.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmlr/MaharanaMZNRHPDG26,
      author = {Sarthak Kumar Maharana and Shambhavi Mishra and Yunbei Zhang and Shuaicheng Niu and Taki Hasan Rafi and Jihun Hamm and Marco Pedersoli and Jose Dolz and Yunhui Guo},
      title = {{Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions}},
      year = {2026},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2026},
      eprint = {2607.08164},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=mM3r03Xw1V}
    }
  11. Continuous Adversarial MeanFlow Transfer.

    Yara Bahram, Zahra Dehghani, Mélodie Desbos, Eric Granger, Pablo Piantanida, Mohammadhadi Shateri

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2608-19540,
      author = {Yara Bahram and Zahra Dehghani and Mélodie Desbos and Eric Granger and Pablo Piantanida and Mohammadhadi Shateri},
      title = {{Continuous Adversarial MeanFlow Transfer}},
      year = {2026},
      doi = {10.48550/ARXIV.2608.19540},
      eprint = {2608.19540},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2608.19540}
    }
  12. Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms.

    Spyros Angelopoulos, Christoph Dürr, Georgii Melidi

    The Fourteenth International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil, April 23-27, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/iclr/AngelopoulosDM26,
      author = {Spyros Angelopoulos and Christoph Dürr and Georgii Melidi},
      title = {{Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms}},
      year = {2026},
      booktitle = {The Fourteenth International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil, April 23-27, 2026},
      eprint = {2501.17701},
      archivePrefix = {arXiv},
      url = {https://proceedings.iclr.cc/paper_files/paper/2026/hash/f28bcb455746d2219c833d86e9443584-Abstract-Conference.html}
    }
  13. Design and Evaluation of an Improved CPDLC Interface.

    Sabrina Knappe, Yanne Sidibe, Benoit Ouellette, Philippe Doyon-Poulin, Jeremy R. Cooperstock

    HCI in Mobility, Transport, and Automotive Systems - 8th International Conference, MobiTAS 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part II, 2026.

    Article
    BibTeX
    @inproceedings{DBLP:conf/hci/KnappeSODC26,
      author = {Sabrina Knappe and Yanne Sidibe and Benoit Ouellette and Philippe Doyon-Poulin and Jeremy R. Cooperstock},
      title = {{Design and Evaluation of an Improved CPDLC Interface}},
      year = {2026},
      booktitle = {HCI in Mobility, Transport, and Automotive Systems - 8th International Conference, MobiTAS 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part II},
      pages = {30--47},
      doi = {10.1007/978-3-032-30798-9_3},
      url = {https://link.springer.com/10.1007/978-3-032-30798-9_3}
    }
  14. Don't Trust the Process: When Verifiability Undermines AI Accountability.

    Tamara Paris, AJung Moon, Jin L. C. Guo

    Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2026, Montreal, QC, Canada, June 25-28, 2026, 2026.

    Article
    BibTeX
    @inproceedings{DBLP:conf/fat/ParisMG26,
      author = {Tamara Paris and AJung Moon and Jin L. C. Guo},
      title = {{Don't Trust the Process: When Verifiability Undermines AI Accountability}},
      year = {2026},
      booktitle = {Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2026, Montreal, QC, Canada, June 25-28, 2026},
      pages = {5348--5370},
      doi = {10.1145/3805689.3812373},
      url = {https://dl.acm.org/doi/10.1145/3805689.3812373}
    }
  15. Full Conformal Adaptation of Medical Vision-Language Models.

    Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz

    Information Processing in Medical Imaging - 29th International Conference, IPMI 2025, Kos, Greece, May 25-30, 2025, Proceedings, Part II, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/ipmi/SilvaRodriguezFCVCAD25,
      author = {Julio Silva-Rodríguez and Leo Fillioux and Paul-Henry Cournède and Maria Vakalopoulou and Stergios Christodoulidis and Ismail Ben Ayed and Jose Dolz},
      title = {{Full Conformal Adaptation of Medical Vision-Language Models}},
      year = {2026},
      booktitle = {Information Processing in Medical Imaging - 29th International Conference, IPMI 2025, Kos, Greece, May 25-30, 2025, Proceedings, Part II},
      pages = {278--293},
      doi = {10.1007/978-3-031-96625-5_19},
      eprint = {2506.06076},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-031-96625-5_19}
    }
  16. Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization.

    Yanis Labrak, David Grünert, Séverin Baroudi, Jiyun Chun, Pawel Cyrta, Sergio Burdisso, Ahmed Hassoon, David Liu, Adam Rothschild, Reed Van Deusen, Petr Motlícek, Andrew Perrault, Ricard Marxer, Thomas Schaaf

    27th Annual Conference of the International Speech Communication Association, Interspeech 2026, Sydney, Australia, September 27 - October 1, 2025, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/interspeech/LabrakGBCCBHLRD26,
      author = {Yanis Labrak and David Grünert and Séverin Baroudi and Jiyun Chun and Pawel Cyrta and Sergio Burdisso and Ahmed Hassoon and David Liu and Adam Rothschild and Reed Van Deusen and Petr Motlícek and Andrew Perrault and Ricard Marxer and Thomas Schaaf},
      title = {{Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization}},
      year = {2026},
      booktitle = {27th Annual Conference of the International Speech Communication Association, Interspeech 2026, Sydney, Australia, September 27 - October 1, 2025},
      doi = {10.21437/INTERSPEECH.2026-2901},
      eprint = {2604.06138},
      archivePrefix = {arXiv},
      url = {https://www.isca-archive.org/interspeech_2026/labrak26_interspeech.html}
    }
  17. GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets.

    Gaspard Botté, Séverin Baroudi, Samir Sadok, Francesco Paissan, Thomas Hueber, Xavier Alameda-Pineda, Ricard Marxer, Mirco Ravanelli

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2609-37798,
      author = {Gaspard Botté and Séverin Baroudi and Samir Sadok and Francesco Paissan and Thomas Hueber and Xavier Alameda-Pineda and Ricard Marxer and Mirco Ravanelli},
      title = {{GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets}},
      year = {2026},
      doi = {10.48550/ARXIV.2609.37798},
      eprint = {2609.37798},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2609.37798}
    }
  18. How Much Were You Told? Measuring External Information in Peer Reviews.

    Matthieu Dubois, Pablo Piantanida, François Yvon

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2609-28041,
      author = {Matthieu Dubois and Pablo Piantanida and François Yvon},
      title = {{How Much Were You Told? Measuring External Information in Peer Reviews}},
      year = {2026},
      doi = {10.48550/ARXIV.2609.28041},
      eprint = {2609.28041},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2609.28041}
    }
  19. How Tough Is Location Anonymization? Re-identifying 100K Real-User Trajectories in Japan.

    Abhishek Kumar Mishra, Mathieu Cunche, Héber Hwang Arcolezi

    Proceedings of the ACM Asia Conference on Computer and Communications Security, ASIA CCS 2026, Bangalore, India, June 1-5, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/asiaccs/MishraCA26,
      author = {Abhishek Kumar Mishra and Mathieu Cunche and Héber Hwang Arcolezi},
      title = {{How Tough Is Location Anonymization? Re-identifying 100K Real-User Trajectories in Japan}},
      year = {2026},
      booktitle = {Proceedings of the ACM Asia Conference on Computer and Communications Security, ASIA CCS 2026, Bangalore, India, June 1-5, 2026},
      pages = {1261--1273},
      doi = {10.1145/3779208.3805978},
      eprint = {2506.05611},
      archivePrefix = {arXiv},
      url = {https://dl.acm.org/doi/10.1145/3779208.3805978}
    }
  20. Language-Aware Information Maximization for Transductive Few-Shot CLIP.

    Ghassen Baklouti, Maxime Zanella, Ismail Ben Ayed

    Trans. Mach. Learn. Res., 2026.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmlr/BakloutiZA26,
      author = {Ghassen Baklouti and Maxime Zanella and Ismail Ben Ayed},
      title = {{Language-Aware Information Maximization for Transductive Few-Shot CLIP}},
      year = {2026},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2026},
      eprint = {2509.00305},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=JxYmNn5oaY}
    }
  21. Latent Goal Prediction from Language for Model-Based Planning.

    Samuel Barbeau, Simon Roy, Giovanni Beltrame, Christian Desrosiers, Nicolas Thome

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2606-20627,
      author = {Samuel Barbeau and Simon Roy and Giovanni Beltrame and Christian Desrosiers and Nicolas Thome},
      title = {{Latent Goal Prediction from Language for Model-Based Planning}},
      year = {2026},
      doi = {10.48550/ARXIV.2606.20627},
      eprint = {2606.20627},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2606.20627}
    }
  22. Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation.

    Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Lameiras Koerich, Ali Etemad, Eric Granger

    Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/pkdd/AslamMPKEG25,
      author = {Muhammad Haseeb Aslam and Clara Martinez and Marco Pedersoli and Alessandro Lameiras Koerich and Ali Etemad and Eric Granger},
      title = {{Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation}},
      year = {2026},
      booktitle = {Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI},
      pages = {235--253},
      doi = {10.1007/978-3-032-06106-5_14},
      url = {https://link.springer.com/10.1007/978-3-032-06106-5_14}
    }
  23. Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism.

    Olivier Beaumont, Raphaël Bourgouin, Maxime Darrin, Loris Marchal, Pablo Piantanida

    Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, Dresden, Germany, August 25-29, 2025, Proceedings, Part I, 2026.

    Article
    BibTeX
    @inproceedings{DBLP:conf/europar/BeaumontBDMP25,
      author = {Olivier Beaumont and Raphaël Bourgouin and Maxime Darrin and Loris Marchal and Pablo Piantanida},
      title = {{Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism}},
      year = {2026},
      booktitle = {Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, Dresden, Germany, August 25-29, 2025, Proceedings, Part I},
      pages = {145--158},
      doi = {10.1007/978-3-031-99854-6_10},
      url = {https://link.springer.com/10.1007/978-3-031-99854-6_10}
    }
  24. MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models.

    Philippe Formont, Maxime Darrin, Ismail Ben Ayed, Pablo Piantanida

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2603-18256,
      author = {Philippe Formont and Maxime Darrin and Ismail Ben Ayed and Pablo Piantanida},
      title = {{MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models}},
      year = {2026},
      doi = {10.48550/ARXIV.2603.18256},
      eprint = {2603.18256},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2603.18256}
    }
  25. MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training.

    Muhammad Osama Zeeshan, Natacha Gillet, Alessandro Lameiras Koerich, Marco Pedersoli, François Brémond, Eric Granger

    IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, Tucson, AZ, USA, March 6-10, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/wacv/ZeeshanGKPBG26,
      author = {Muhammad Osama Zeeshan and Natacha Gillet and Alessandro Lameiras Koerich and Marco Pedersoli and François Brémond and Eric Granger},
      title = {{MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training}},
      year = {2026},
      booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, Tucson, AZ, USA, March 6-10, 2026},
      pages = {3606--3616},
      doi = {10.1109/WACV61042.2026.00352},
      eprint = {2508.12522},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/11492055/}
    }
  26. Neuralyzing the Trace: Selective Representation-Level Unlearning with Contrastive Sparse Autoencoders.

    Itai Zehavi, Fanny Jourdan, Ulrich Aïvodji

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2609-31056,
      author = {Itai Zehavi and Fanny Jourdan and Ulrich Aïvodji},
      title = {{Neuralyzing the Trace: Selective Representation-Level Unlearning with Contrastive Sparse Autoencoders}},
      year = {2026},
      doi = {10.48550/ARXIV.2609.31056},
      eprint = {2609.31056},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2609.31056}
    }
  27. OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection.

    Kunal Mahatha, Ali Bahri, Pierre Marza, Sahar Dastani, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz, Christian Desrosiers

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2602-00904,
      author = {Kunal Mahatha and Ali Bahri and Pierre Marza and Sahar Dastani and Maria Vakalopoulou and Stergios Christodoulidis and Jose Dolz and Christian Desrosiers},
      title = {{OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection}},
      year = {2026},
      doi = {10.48550/ARXIV.2602.00904},
      eprint = {2602.00904},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2602.00904}
    }
  28. PRISM: Perception Reasoning Interleaved for Sequential Decision Making.

    Mohamed Salim Aissi, Clémence Grislain, Clément Romac, Laure Soulier, Mohamed Chetouani, Olivier Sigaud, Nicolas Thome

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2605-05407,
      author = {Mohamed Salim Aissi and Clémence Grislain and Clément Romac and Laure Soulier and Mohamed Chetouani and Olivier Sigaud and Nicolas Thome},
      title = {{PRISM: Perception Reasoning Interleaved for Sequential Decision Making}},
      year = {2026},
      doi = {10.48550/ARXIV.2605.05407},
      eprint = {2605.05407},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2605.05407}
    }
  29. PrivacySkills: How Privacy Guidance Shapes Source Selection in LLM Agents.

    Lucas Biechy, Cédric Eichler, Héber Hwang Arcolezi, Nicolas Anciaux

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2609-35937,
      author = {Lucas Biechy and Cédric Eichler and Héber Hwang Arcolezi and Nicolas Anciaux},
      title = {{PrivacySkills: How Privacy Guidance Shapes Source Selection in LLM Agents}},
      year = {2026},
      doi = {10.48550/ARXIV.2609.35937},
      eprint = {2609.35937},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2609.35937}
    }
  30. Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data.

    Maryam Babaei, Yingke Wang, Hadrien Lautraite, Héber Hwang Arcolezi, Ulrich Aïvodji, Sébastien Gambs

    Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2026, Montreal, QC, Canada, June 25-28, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/fat/BabaeiWLAAG26,
      author = {Maryam Babaei and Yingke Wang and Hadrien Lautraite and Héber Hwang Arcolezi and Ulrich Aïvodji and Sébastien Gambs},
      title = {{Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data}},
      year = {2026},
      booktitle = {Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2026, Montreal, QC, Canada, June 25-28, 2026},
      pages = {4988--5022},
      doi = {10.1145/3805689.3812361},
      eprint = {2606.06334},
      archivePrefix = {arXiv},
      url = {https://dl.acm.org/doi/10.1145/3805689.3812361}
    }
  31. Quantile Adaptive Temperature Scaling for Confidence Calibration.

    Omprakash Chakraborty, Leo Fillioux, Ismail Ben Ayed, Jose Dolz

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2606-21749,
      author = {Omprakash Chakraborty and Leo Fillioux and Ismail Ben Ayed and Jose Dolz},
      title = {{Quantile Adaptive Temperature Scaling for Confidence Calibration}},
      year = {2026},
      doi = {10.48550/ARXIV.2606.21749},
      eprint = {2606.21749},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2606.21749}
    }
  32. QueStER: Query Specification for Generative Keyword-Based Retrieval.

    Arthur Satouf, Yuxuan Zong, Habiboulaye Amadou Boubacar, Pablo Piantanida, Benjamin Piwowarski

    Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/eacl/SatoufZBPP26,
      author = {Arthur Satouf and Yuxuan Zong and Habiboulaye Amadou Boubacar and Pablo Piantanida and Benjamin Piwowarski},
      title = {{QueStER: Query Specification for Generative Keyword-Based Retrieval}},
      year = {2026},
      booktitle = {Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29, 2026},
      pages = {5957--5968},
      doi = {10.18653/V1/2026.FINDINGS-EACL.312},
      eprint = {2511.05301},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2026.findings-eacl.312/}
    }
  33. Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation.

    Arnaud Judge, Nicolas Duchateau, Thierry Judge, Roman A. Sandler, Joseph Z. Sokol, Christian Desrosiers, Olivier Bernard, Pierre-Marc Jodoin

    IEEE Trans. Medical Imaging, 2026.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmi/JudgeDJSSDBJ26,
      author = {Arnaud Judge and Nicolas Duchateau and Thierry Judge and Roman A. Sandler and Joseph Z. Sokol and Christian Desrosiers and Olivier Bernard and Pierre-Marc Jodoin},
      title = {{Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation}},
      year = {2026},
      journal = {IEEE Trans. Medical Imaging},
      volume = {45},
      number = {7},
      pages = {4161--4173},
      doi = {10.1109/TMI.2026.3693615},
      eprint = {2510.14244},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/11520934/}
    }
  34. Revisiting Locally Differentially Private Protocols: Towards Better Trade-Offs in Privacy, Utility, and Attack Resistance.

    Héber Hwang Arcolezi, Sébastien Gambs

    42nd IEEE International Conference on Data Engineering, ICDE 2026, Montreal, QC, Canada, May 4-8, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/icde/ArcoleziG26,
      author = {Héber Hwang Arcolezi and Sébastien Gambs},
      title = {{Revisiting Locally Differentially Private Protocols: Towards Better Trade-Offs in Privacy, Utility, and Attack Resistance}},
      year = {2026},
      booktitle = {42nd IEEE International Conference on Data Engineering, ICDE 2026, Montreal, QC, Canada, May 4-8, 2026},
      pages = {294--307},
      doi = {10.1109/ICDE65706.2026.00029},
      eprint = {2503.01482},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/11629430/}
    }
  35. SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation.

    Sergio Burdisso, Séverin Baroudi, Yanis Labrak, David Grünert, Pawel Cyrta, Yiyang Chen, Srikanth R. Madikeri, Esaú Villatoro-Tello, Ricard Marxer, Petr Motlícek

    Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2026 - Volume 3: System Demonstrations, Rabat, Marocco, March 24-29, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/eacl/BurdissoBLGCCMVMM26,
      author = {Sergio Burdisso and Séverin Baroudi and Yanis Labrak and David Grünert and Pawel Cyrta and Yiyang Chen and Srikanth R. Madikeri and Esaú Villatoro-Tello and Ricard Marxer and Petr Motlícek},
      title = {{SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation}},
      year = {2026},
      booktitle = {Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2026 - Volume 3: System Demonstrations, Rabat, Marocco, March 24-29, 2026},
      pages = {320--340},
      doi = {10.18653/V1/2026.EACL-DEMO.23},
      eprint = {2506.10622},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2026.eacl-demo.23/}
    }
  36. Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models.

    Shambhavi Mishra, Julio Silva-Rodríguez, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

    Trans. Mach. Learn. Res., 2026.

    Article
    BibTeX
    @article{DBLP:journals/tmlr/MishraSAPD26,
      author = {Shambhavi Mishra and Julio Silva-Rodríguez and Ismail Ben Ayed and Marco Pedersoli and Jose Dolz},
      title = {{Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models}},
      year = {2026},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2026},
      url = {https://openreview.net/forum?id=iE0Yemxvio}
    }
  37. SGPMIL: Sparse Gaussian Process Multiple Instance Learning.

    Andreas Lolos, Stergios Christodoulidis, Aris L. Moustakas, Jose Dolz, Maria Vakalopoulou

    IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, Tucson, AZ, USA, March 6-10, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/wacv/LolosCMDV26,
      author = {Andreas Lolos and Stergios Christodoulidis and Aris L. Moustakas and Jose Dolz and Maria Vakalopoulou},
      title = {{SGPMIL: Sparse Gaussian Process Multiple Instance Learning}},
      year = {2026},
      booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, Tucson, AZ, USA, March 6-10, 2026},
      pages = {503--513},
      doi = {10.1109/WACV61042.2026.00057},
      eprint = {2507.08711},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/11492700/}
    }
  38. SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning.

    Leo Fillioux, Omprakash Chakraborty, Ismail Ben Ayed, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Jose Dolz

    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2026, Denver, CO, USA, June 3-7, 2026, 2026.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cvpr/FilliouxCACCVD26,
      author = {Leo Fillioux and Omprakash Chakraborty and Ismail Ben Ayed and Paul-Henry Cournède and Stergios Christodoulidis and Maria Vakalopoulou and Jose Dolz},
      title = {{SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning}},
      year = {2026},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2026, Denver, CO, USA, June 3-7, 2026},
      pages = {4772--4782},
      eprint = {2601.08617},
      archivePrefix = {arXiv},
      url = {https://openaccess.thecvf.com/content/CVPR2026/html/Fillioux_SoC_Semantic_Orthogonal_Calibration_for_Test-Time_Prompt_Tuning_CVPR_2026_paper.html}
    }
  39. Source-Free Class Relearning: Diagnosing Forgetting in Class Unlearning.

    Zahra Dehghani, Pablo Piantanida, Mohammadhadi Shateri

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2609-02018,
      author = {Zahra Dehghani and Pablo Piantanida and Mohammadhadi Shateri},
      title = {{Source-Free Class Relearning: Diagnosing Forgetting in Class Unlearning}},
      year = {2026},
      doi = {10.48550/ARXIV.2609.02018},
      eprint = {2609.02018},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2609.02018}
    }
  40. STORM: Stepwise Token Optimization with Reward-Guided Beam Search.

    Arthur Satouf, Giulio D'Erasmo, Yuxuan Zong, Habiboulaye Amadou Boubacar, Pablo Piantanida, Benjamin Piwowarski

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2606-10621,
      author = {Arthur Satouf and Giulio D'Erasmo and Yuxuan Zong and Habiboulaye Amadou Boubacar and Pablo Piantanida and Benjamin Piwowarski},
      title = {{STORM: Stepwise Token Optimization with Reward-Guided Beam Search}},
      year = {2026},
      doi = {10.48550/ARXIV.2606.10621},
      eprint = {2606.10621},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2606.10621}
    }
  41. The Pareto Frontier of Randomized Learning-Augmented Online Bidding.

    Mathis Degryse, Imrane Saakour, Christoph Dürr, Spyros Angelopoulos

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2605-06106,
      author = {Mathis Degryse and Imrane Saakour and Christoph Dürr and Spyros Angelopoulos},
      title = {{The Pareto Frontier of Randomized Learning-Augmented Online Bidding}},
      year = {2026},
      doi = {10.48550/ARXIV.2605.06106},
      eprint = {2605.06106},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2605.06106}
    }
  42. Towards a faithful stochastic model for brain digital twins.

    Abdelhamid Rouatbi, Alexandre Muzy, Eugene Syriani

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2609-13973,
      author = {Abdelhamid Rouatbi and Alexandre Muzy and Eugene Syriani},
      title = {{Towards a faithful stochastic model for brain digital twins}},
      year = {2026},
      doi = {10.48550/ARXIV.2609.13973},
      eprint = {2609.13973},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2609.13973}
    }
  43. Towards a Speech-Based Resolution of In-Flight Abnormal Situations.

    Hélène Unrein, Elodie Bouzekri, Benoit Ouellette, Jeremy R. Cooperstock

    Engineering Psychology and Cognitive Ergonomics - 23rd International Conference, EPCE 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part II, 2026.

    Article
    BibTeX
    @inproceedings{DBLP:conf/hci/UnreinBOC26,
      author = {Hélène Unrein and Elodie Bouzekri and Benoit Ouellette and Jeremy R. Cooperstock},
      title = {{Towards a Speech-Based Resolution of In-Flight Abnormal Situations}},
      year = {2026},
      booktitle = {Engineering Psychology and Cognitive Ergonomics - 23rd International Conference, EPCE 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part II},
      pages = {275--299},
      doi = {10.1007/978-3-032-29459-3_19},
      url = {https://link.springer.com/10.1007/978-3-032-29459-3_19}
    }
  44. Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing.

    Patricia Guerra-Balboa, Annika Sauer, Héber Hwang Arcolezi, Thorsten Strufe

    Proc. VLDB Endow., 2026.

    Article arXiv
    BibTeX
    @article{DBLP:journals/pvldb/GuerraBalboaSAS26,
      author = {Patricia Guerra-Balboa and Annika Sauer and Héber Hwang Arcolezi and Thorsten Strufe},
      title = {{Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing}},
      year = {2026},
      journal = {Proc. VLDB Endow.},
      volume = {19},
      number = {7},
      pages = {1558--1571},
      eprint = {2603.12142},
      archivePrefix = {arXiv},
      url = {https://www.vldb.org/pvldb/vol19/p1558-guerra-balboa.pdf}
    }
  45. Underwater Wireless Communication Systems and Networks: A Survey, Future Directions, and Novel Proposals.

    Abdallah S. Ghazy, Nadir H. Adam, Ikenna Chinazaekpere Ijeh, Oussama Haddad, Surabhi Karandikar, Georges Kaddoum, Chamseddine Talhi, Naveed Iqbal, Haitham S. Khallaf

    IEEE Open J. Commun. Soc., 2026.

    Article
    BibTeX
    @article{DBLP:journals/ojcs/GhazyAIHKKTIK26,
      author = {Abdallah S. Ghazy and Nadir H. Adam and Ikenna Chinazaekpere Ijeh and Oussama Haddad and Surabhi Karandikar and Georges Kaddoum and Chamseddine Talhi and Naveed Iqbal and Haitham S. Khallaf},
      title = {{Underwater Wireless Communication Systems and Networks: A Survey, Future Directions, and Novel Proposals}},
      year = {2026},
      journal = {IEEE Open J. Commun. Soc.},
      volume = {7},
      pages = {5512--5580},
      doi = {10.1109/OJCOMS.2026.3692601},
      url = {https://ieeexplore.ieee.org/document/11520344/}
    }
  46. When Do Concepts Become Functionally Sufficient During Language-Model Training?

    Raphael Bernas, Paul G. Chevalier, Fanny Jourdan, Céline Hudelot

    Prépublication · arXiv, 2026.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2608-15323,
      author = {Raphael Bernas and Paul G. Chevalier and Fanny Jourdan and Céline Hudelot},
      title = {{When Do Concepts Become Functionally Sufficient During Language-Model Training?}},
      year = {2026},
      doi = {10.48550/ARXIV.2608.15323},
      eprint = {2608.15323},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2608.15323}
    }
  47. Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data.

    Vinícius Gabriel Angelozzi, Héber Hwang Arcolezi

    Proc. Priv. Enhancing Technol., 2026.

    Article arXiv
    BibTeX
    @article{DBLP:journals/popets/AngelozziA26,
      author = {Vinícius Gabriel Angelozzi and Héber Hwang Arcolezi},
      title = {{Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data}},
      year = {2026},
      journal = {Proc. Priv. Enhancing Technol.},
      volume = {2026},
      number = {4},
      pages = {53--82},
      doi = {10.56553/POPETS-2026-0110},
      eprint = {2607.07471},
      archivePrefix = {arXiv},
      url = {https://petsymposium.org/popets/2026/popets-2026-0110.php}
    }
2025 (43 références)
  1. Aggregatedf-average neural network applied to few-shot class incremental learning.

    Mathieu Vu, Émilie Chouzenoux, Ismail Ben Ayed, Jean-Christophe Pesquet

    Signal Process., 2025.

    Article arXiv
    BibTeX
    @article{DBLP:journals/sigpro/VuCAP25,
      author = {Mathieu Vu and Émilie Chouzenoux and Ismail Ben Ayed and Jean-Christophe Pesquet},
      title = {{Aggregatedf-average neural network applied to few-shot class incremental learning}},
      year = {2025},
      journal = {Signal Process.},
      volume = {237},
      pages = {110054},
      doi = {10.1016/J.SIGPRO.2025.110054},
      eprint = {2310.05566},
      archivePrefix = {arXiv},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S0165168425001689}
    }
  2. Analysing vocal complexity in relation to sociality in orcas of British Columbia: An application of long-term computational passive acoustics.

    Paul Best, Marion Poupard, Ricard Marxer, Paul Spong, Helena Symonds, Hervé Glotin

    Ecol. Informatics, 2025.

    Article
    BibTeX
    @article{DBLP:journals/ecoi/BestPMSSG25,
      author = {Paul Best and Marion Poupard and Ricard Marxer and Paul Spong and Helena Symonds and Hervé Glotin},
      title = {{Analysing vocal complexity in relation to sociality in orcas of British Columbia: An application of long-term computational passive acoustics}},
      year = {2025},
      journal = {Ecol. Informatics},
      volume = {90},
      pages = {103211},
      doi = {10.1016/J.ECOINF.2025.103211},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S1574954125002201}
    }
  3. Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images.

    Hicham Talaoubrid, Anissa Mokraoui, Ismail Ben Ayed, Axel Prouvost, Sonimith Hang, Monit Korn, Rémi Harvey

    33rd European Signal Processing Conference, EUSIPCO 2025, Palermo, Italy, September 8-12, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/eusipco/TalaoubridMAPHKH25,
      author = {Hicham Talaoubrid and Anissa Mokraoui and Ismail Ben Ayed and Axel Prouvost and Sonimith Hang and Monit Korn and Rémi Harvey},
      title = {{Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images}},
      year = {2025},
      booktitle = {33rd European Signal Processing Conference, EUSIPCO 2025, Palermo, Italy, September 8-12, 2025},
      pages = {745--749},
      eprint = {2504.06330},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/11226338}
    }
  4. A Road Map for Responsible Robotics: Promoting Human Agency and Collaborative Efforts.

    Dejanira Araiza-Illan, Kevin Baum, Helen Beebee, Raja Chatila, Sarah Moth-Lund Christensen, Simon Coghlan, Emily C. Collins, S. Kate Conroy, Alcino Cunha, Anna Dobrosovestnova, Hein Duijf, Vanessa Evers, Michael Fisher, Nico Hochgeschwender, Nadin Kökciyan, Séverin Lemaignan, Francisco Javier Rodríguez-Lera, Sara Ljungblad, Martin Magnusson, Masoumeh Mansouri, Michael Milford, AJung Moon, Thomas M. Powers, Pericle Salvini, Teresa Scantamburlo, Nick Schuster, Marija Slavkovik, Ufuk Topcu, Daniel F. Preciado Vanegas, Andrzej Wasowski, Yi Yang

    IEEE Robotics Autom. Mag., 2025.

    Article
    BibTeX
    @article{DBLP:journals/ram/AraizaIllanBBCCCCCCDDEF25,
      author = {Dejanira Araiza-Illan and Kevin Baum and Helen Beebee and Raja Chatila and Sarah Moth-Lund Christensen and Simon Coghlan and Emily C. Collins and S. Kate Conroy and Alcino Cunha and Anna Dobrosovestnova and Hein Duijf and Vanessa Evers and Michael Fisher and Nico Hochgeschwender and Nadin Kökciyan and Séverin Lemaignan and Francisco Javier Rodríguez-Lera and Sara Ljungblad and Martin Magnusson and Masoumeh Mansouri and Michael Milford and AJung Moon and Thomas M. Powers and Pericle Salvini and Teresa Scantamburlo and Nick Schuster and Marija Slavkovik and Ufuk Topcu and Daniel F. Preciado Vanegas and Andrzej Wasowski and Yi Yang},
      title = {{A Road Map for Responsible Robotics: Promoting Human Agency and Collaborative Efforts}},
      year = {2025},
      journal = {IEEE Robotics Autom. Mag.},
      volume = {32},
      number = {4},
      pages = {12--24},
      doi = {10.1109/MRA.2025.3620148},
      url = {https://ieeexplore.ieee.org/document/11236462/}
    }
  5. A scheduler to foster data locality for GPU and out-of-core task-based linear algebra applications.

    Maxime Gonthier, Loris Marchal, Samuel Thibault

    J. Parallel Distributed Comput., 2025.

    Article
    BibTeX
    @article{DBLP:journals/jpdc/GonthierMT25,
      author = {Maxime Gonthier and Loris Marchal and Samuel Thibault},
      title = {{A scheduler to foster data locality for GPU and out-of-core task-based linear algebra applications}},
      year = {2025},
      journal = {J. Parallel Distributed Comput.},
      volume = {206},
      pages = {105170},
      doi = {10.1016/J.JPDC.2025.105170},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S0743731525001376}
    }
  6. A Strong Baseline for Molecular Few-Shot Learning.

    Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed

    Trans. Mach. Learn. Res., 2025.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmlr/FormontJPA25,
      author = {Philippe Formont and Hugo Jeannin and Pablo Piantanida and Ismail Ben Ayed},
      title = {{A Strong Baseline for Molecular Few-Shot Learning}},
      year = {2025},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2025},
      eprint = {2404.02314},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=JQ0agisXny}
    }
  7. CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation.

    Marc Lafon, Gustavo Adolfo Vargas Hakim, Clément Rambour, Christian Desrosiers, Nicolas Thome

    Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025., 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/LafonHRDT25,
      author = {Marc Lafon and Gustavo Adolfo Vargas Hakim and Clément Rambour and Christian Desrosiers and Nicolas Thome},
      title = {{CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation}},
      year = {2025},
      booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025},
      eprint = {2507.14312},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2025/hash/67e2da8af2476c7441c881fc253042a6-Abstract-Conference.html}
    }
  8. Closed-Set Speaker Identification using Few-Shot Transductive Learning.

    Gabriel Pirlogeanu, Ana Neacsu, Horia Cucu, Jean-Christophe Pesquet, Ismail Ben Ayed

    33rd European Signal Processing Conference, EUSIPCO 2025, Palermo, Italy, September 8-12, 2025, 2025.

    Article
    BibTeX
    @inproceedings{DBLP:conf/eusipco/PirlogeanuNCPA25,
      author = {Gabriel Pirlogeanu and Ana Neacsu and Horia Cucu and Jean-Christophe Pesquet and Ismail Ben Ayed},
      title = {{Closed-Set Speaker Identification using Few-Shot Transductive Learning}},
      year = {2025},
      booktitle = {33rd European Signal Processing Conference, EUSIPCO 2025, Palermo, Italy, September 8-12, 2025},
      pages = {46--50},
      url = {https://ieeexplore.ieee.org/document/11226136}
    }
  9. Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog.

    Lautaro Estienne, Gabriel Ben Zenou, Nona Naderi, Jackie CK Cheung, Pablo Piantanida

    Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, November 4-9, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/emnlp/EstienneZNCP25,
      author = {Lautaro Estienne and Gabriel Ben Zenou and Nona Naderi and Jackie CK Cheung and Pablo Piantanida},
      title = {{Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog}},
      year = {2025},
      booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, November 4-9, 2025},
      pages = {22509--22523},
      doi = {10.18653/V1/2025.EMNLP-MAIN.1145},
      eprint = {2507.14063},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2025.emnlp-main.1145}
    }
  10. Communication Efficient, Differentially Private Distributed Optimization using Correlation-Aware Sketching.

    Julien Nicolas, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates

    Prépublication · arXiv, 2025.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2507-03545,
      author = {Julien Nicolas and Mohamed Maouche and Sonia Ben Mokhtar and Mark Coates},
      title = {{Communication Efficient, Differentially Private Distributed Optimization using Correlation-Aware Sketching}},
      year = {2025},
      doi = {10.48550/ARXIV.2507.03545},
      eprint = {2507.03545},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2507.03545}
    }
  11. Deadline-Aware Scheduling of Mixed-Criticality Tasks.

    Maxime Gonthier, Kyle Chard, Ian T. Foster, Loris Marchal, Frédéric Vivien

    Proceedings of the 54th International Conference on Parallel Processing, ICPP 2025, San Diego, CA, USA, September 8-11, 2025, 2025.

    Article
    BibTeX
    @inproceedings{DBLP:conf/icpp/GonthierCFMV25,
      author = {Maxime Gonthier and Kyle Chard and Ian T. Foster and Loris Marchal and Frédéric Vivien},
      title = {{Deadline-Aware Scheduling of Mixed-Criticality Tasks}},
      year = {2025},
      booktitle = {Proceedings of the 54th International Conference on Parallel Processing, ICPP 2025, San Diego, CA, USA, September 8-11, 2025},
      pages = {178--187},
      doi = {10.1145/3754598.3754639},
      url = {https://dl.acm.org/doi/10.1145/3754598.3754639}
    }
  12. Depth Jitter: Seeing through the Depth.

    Md Sazidur Rahman, David Cabecinhas, Ricard Marxer

    Prépublication · arXiv, 2025.

    Article arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2508-06227,
      author = {Md Sazidur Rahman and David Cabecinhas and Ricard Marxer},
      title = {{Depth Jitter: Seeing through the Depth}},
      year = {2025},
      doi = {10.48550/ARXIV.2508.06227},
      eprint = {2508.06227},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2508.06227}
    }
  13. Discrete Audio Tokens: More Than a Survey!

    Pooneh Mousavi, Gallil Maimon, Adel Moumen, Darius Petermann, Jiatong Shi, Haibin Wu, Haici Yang, Anastasia Kuznetsova, Artem Ploujnikov, Ricard Marxer, Bhuvana Ramabhadran, Benjamin Elizalde, Loren Lugosch, Jinyu Li, Cem Subakan, Philip C. Woodland, Minje Kim, Hung-yi Lee, Shinji Watanabe, Yossi Adi, Mirco Ravanelli

    Trans. Mach. Learn. Res., 2025.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmlr/MousaviMMPSWYKPMRELLSWK25,
      author = {Pooneh Mousavi and Gallil Maimon and Adel Moumen and Darius Petermann and Jiatong Shi and Haibin Wu and Haici Yang and Anastasia Kuznetsova and Artem Ploujnikov and Ricard Marxer and Bhuvana Ramabhadran and Benjamin Elizalde and Loren Lugosch and Jinyu Li and Cem Subakan and Philip C. Woodland and Minje Kim and Hung-yi Lee and Shinji Watanabe and Yossi Adi and Mirco Ravanelli},
      title = {{Discrete Audio Tokens: More Than a Survey!}},
      year = {2025},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2025},
      eprint = {2506.10274},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=eqNchtvc6v}
    }
  14. Distilling semantically aware orders for autoregressive image generation.

    Rishav Pramanik, Antoine Poupon, Juan A. Rodríguez, Masih Aminbeidokhti, David Vázquez, Christopher Pal, Zhaozheng Yin, Marco Pedersoli

    Prépublication · arXiv, 2025.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2504-17069,
      author = {Rishav Pramanik and Antoine Poupon and Juan A. Rodríguez and Masih Aminbeidokhti and David Vázquez and Christopher Pal and Zhaozheng Yin and Marco Pedersoli},
      title = {{Distilling semantically aware orders for autoregressive image generation}},
      year = {2025},
      doi = {10.48550/ARXIV.2504.17069},
      eprint = {2504.17069},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2504.17069}
    }
  15. Fatigue and Task Load Dependent Decision Referrals for Joint Binary Classification in Human-Automation Teams.

    Raihan Seraj, Jerome Le Ny, Aditya Mahajan

    IEEE Control. Syst. Lett., 2025.

    Article
    BibTeX
    @article{DBLP:journals/csysl/SerajNM25,
      author = {Raihan Seraj and Jerome Le Ny and Aditya Mahajan},
      title = {{Fatigue and Task Load Dependent Decision Referrals for Joint Binary Classification in Human-Automation Teams}},
      year = {2025},
      journal = {IEEE Control. Syst. Lett.},
      volume = {9},
      pages = {1315--1320},
      doi = {10.1109/LCSYS.2025.3581647},
      url = {https://ieeexplore.ieee.org/document/11045520/}
    }
  16. Fundamental Limits of Membership Inference Attacks on Machine Learning Models.

    Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida

    J. Mach. Learn. Res., 2025.

    Article arXiv
    BibTeX
    @article{DBLP:journals/jmlr/AubinaisGP25,
      author = {Eric Aubinais and Elisabeth Gassiat and Pablo Piantanida},
      title = {{Fundamental Limits of Membership Inference Attacks on Machine Learning Models}},
      year = {2025},
      journal = {J. Mach. Learn. Res.},
      volume = {26},
      pages = {263:1--263:54},
      eprint = {2310.13786},
      archivePrefix = {arXiv},
      url = {https://jmlr.org/papers/v26/24-1515.html}
    }
  17. GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D.

    Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

    Trans. Mach. Learn. Res., 2025.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmlr/BahriYNCHOBAD25,
      author = {Ali Bahri and Moslem Yazdanpanah and Mehrdad Noori and Milad Cheraghalikhani and Gustavo Adolfo Vargas Hakim and David Osowiechi and Farzad Beizaee and Ismail Ben Ayed and Christian Desrosiers},
      title = {{GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D}},
      year = {2025},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2025},
      eprint = {2405.12419},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=Yk7GUlJwGa}
    }
  18. Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization.

    Farzad Beizaee, Gregory A. Lodygensky, Christopher L. Adamson, Deanne K. Thompson, Jeanie L. Y. Cheong, Alicia J. Spittle, Peter J. Anderson, Christian Desrosiers, Jose Dolz

    Medical Image Anal., 2025.

    Article arXiv
    BibTeX
    @article{DBLP:journals/mia/BeizaeeLATCSADD25,
      author = {Farzad Beizaee and Gregory A. Lodygensky and Christopher L. Adamson and Deanne K. Thompson and Jeanie L. Y. Cheong and Alicia J. Spittle and Peter J. Anderson and Christian Desrosiers and Jose Dolz},
      title = {{Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization}},
      year = {2025},
      journal = {Medical Image Anal.},
      volume = {101},
      pages = {103483},
      doi = {10.1016/J.MEDIA.2025.103483},
      eprint = {2407.15717},
      archivePrefix = {arXiv},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S1361841525000313}
    }
  19. How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study.

    Matthieu Dubois, François Yvon, Pablo Piantanida

    Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, November 4-9, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/emnlp/DuboisYP25,
      author = {Matthieu Dubois and François Yvon and Pablo Piantanida},
      title = {{How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study}},
      year = {2025},
      booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, November 4-9, 2025},
      pages = {11369--11387},
      doi = {10.18653/V1/2025.FINDINGS-EMNLP.609},
      eprint = {2510.13681},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2025.findings-emnlp.609/}
    }
  20. Learning-Augmented Online Bidding in Stochastic Settings.

    Spyros Angelopoulos, Bertrand Simon

    Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025., 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/AngelopoulosS25,
      author = {Spyros Angelopoulos and Bertrand Simon},
      title = {{Learning-Augmented Online Bidding in Stochastic Settings}},
      year = {2025},
      booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025},
      eprint = {2510.25582},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2025/hash/618f396e2df006be25412505a793879a-Abstract-Conference.html}
    }
  21. Learning Task-Agnostic Representations through Multi-Teacher Distillation.

    Philippe Formont, Maxime Darrin, Banafsheh Karimian, Eric Granger, Jackie CK Cheung, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida

    Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025., 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/FormontDKGCASP25,
      author = {Philippe Formont and Maxime Darrin and Banafsheh Karimian and Eric Granger and Jackie CK Cheung and Ismail Ben Ayed and Mohammadhadi Shateri and Pablo Piantanida},
      title = {{Learning Task-Agnostic Representations through Multi-Teacher Distillation}},
      year = {2025},
      booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025},
      eprint = {2510.18680},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2025/hash/9e11d680214e92c1683aaf80ae30febe-Abstract-Conference.html}
    }
  22. Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study.

    Eric Aubinais, Philippe Formont, Pablo Piantanida, Elisabeth Gassiat

    Prépublication · arXiv, 2025.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2502-06567,
      author = {Eric Aubinais and Philippe Formont and Pablo Piantanida and Elisabeth Gassiat},
      title = {{Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study}},
      year = {2025},
      doi = {10.48550/ARXIV.2502.06567},
      eprint = {2502.06567},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2502.06567}
    }
  23. Model Approximation in MDPs With Unbounded Per-Step Cost.

    Berk Bozkurt, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang

    IEEE Trans. Autom. Control., 2025.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tac/BozkurtMNO25,
      author = {Berk Bozkurt and Aditya Mahajan and Ashutosh Nayyar and Yi Ouyang},
      title = {{Model Approximation in MDPs With Unbounded Per-Step Cost}},
      year = {2025},
      journal = {IEEE Trans. Autom. Control.},
      volume = {70},
      number = {7},
      pages = {4624--4639},
      doi = {10.1109/TAC.2025.3532181},
      eprint = {2402.08813},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10848136/}
    }
  24. MOSAIC at GENAI Detection Task 3 : Zero-Shot Detection Using an Ensemble of Models.

    Matthieu Dubois, François Yvon, Pablo Piantanida

    Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025 - Workshops, Abu Dhabi, UAE, January 19-24, 2025, 2025.

    Article
    BibTeX
    @inproceedings{DBLP:conf/coling/DuboisYP25,
      author = {Matthieu Dubois and François Yvon and Pablo Piantanida},
      title = {{MOSAIC at GENAI Detection Task 3 : Zero-Shot Detection Using an Ensemble of Models}},
      year = {2025},
      booktitle = {Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025 - Workshops, Abu Dhabi, UAE, January 19-24, 2025},
      pages = {371--376},
      url = {https://aclanthology.org/2025.genaidetect-1.44/}
    }
  25. MOSAIC: Multiple Observers Spotting AI Content.

    Matthieu Dubois, François Yvon, Pablo Piantanida

    Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/acl/DuboisYP25,
      author = {Matthieu Dubois and François Yvon and Pablo Piantanida},
      title = {{MOSAIC: Multiple Observers Spotting AI Content}},
      year = {2025},
      booktitle = {Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025},
      pages = {24230--24247},
      doi = {10.18653/V1/2025.FINDINGS-ACL.1244},
      eprint = {2409.07615},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2025.findings-acl.1244/}
    }
  26. On Estimating the Strength of Differentially Private Mechanisms in a Black-Box Setting.

    Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida

    IEEE Trans. Dependable Secur. Comput., 2025.

    Article
    BibTeX
    @article{DBLP:journals/tdsc/GorlaJGPP25,
      author = {Daniele Gorla and Louis Jalouzot and Federica Granese and Catuscia Palamidessi and Pablo Piantanida},
      title = {{On Estimating the Strength of Differentially Private Mechanisms in a Black-Box Setting}},
      year = {2025},
      journal = {IEEE Trans. Dependable Secur. Comput.},
      volume = {22},
      number = {5},
      pages = {5494--5507},
      doi = {10.1109/TDSC.2025.3568160},
      url = {https://ieeexplore.ieee.org/document/10993470/}
    }
  27. Optimization of CRC-Based Single-Bit Error Correction Using a Perfect Hash Table Structure.

    Zouhair Ziani, Stéphane Coulombe, François-Xavier Coudoux, Patrick Corlay

    IEEE International Symposium on Circuits and Systems, ISCAS 2025, London, United Kingdom, May 25-28, 2025, 2025.

    Article
    BibTeX
    @inproceedings{DBLP:conf/iscas/ZianiCCC25,
      author = {Zouhair Ziani and Stéphane Coulombe and François-Xavier Coudoux and Patrick Corlay},
      title = {{Optimization of CRC-Based Single-Bit Error Correction Using a Perfect Hash Table Structure}},
      year = {2025},
      booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2025, London, United Kingdom, May 25-28, 2025},
      pages = {1--5},
      doi = {10.1109/ISCAS56072.2025.11043197},
      url = {https://ieeexplore.ieee.org/document/11043197/}
    }
  28. Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search.

    Ziyad Benomar, Lorenzo Croissant, Vianney Perchet, Spyros Angelopoulos

    Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/icml/BenomarCP025,
      author = {Ziyad Benomar and Lorenzo Croissant and Vianney Perchet and Spyros Angelopoulos},
      title = {{Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search}},
      year = {2025},
      booktitle = {Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025},
      eprint = {2502.05720},
      archivePrefix = {arXiv},
      url = {https://proceedings.mlr.press/v267/benomar25a.html}
    }
  29. PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems.

    Julien Nicolas, César Sabater, Mohamed Maouche, Mark Coates, Sonia Ben Mokhtar

    Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025, 2025.

    Article
    BibTeX
    @inproceedings{DBLP:conf/cikm/NicolasSMCM25,
      author = {Julien Nicolas and César Sabater and Mohamed Maouche and Mark Coates and Sonia Ben Mokhtar},
      title = {{PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems}},
      year = {2025},
      booktitle = {Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025},
      pages = {2212--2221},
      doi = {10.1145/3746252.3761152},
      url = {https://dl.acm.org/doi/10.1145/3746252.3761152}
    }
  30. Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval.

    Arthur Satouf, Gabriel Ben Zenou, Benjamin Piwowarski, Habiboulaye Amadou Boubacar, Pablo Piantanida

    Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/sigir/SatoufZPBP25,
      author = {Arthur Satouf and Gabriel Ben Zenou and Benjamin Piwowarski and Habiboulaye Amadou Boubacar and Pablo Piantanida},
      title = {{Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval}},
      year = {2025},
      booktitle = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025},
      pages = {2674--2678},
      doi = {10.1145/3726302.3730239},
      eprint = {2505.03676},
      archivePrefix = {arXiv},
      url = {https://dl.acm.org/doi/10.1145/3726302.3730239}
    }
  31. Revisiting the Learning Objectives of Vision-Language Reward Models.

    Simon Roy, Samuel Barbeau, Giovanni Beltrame, Christian Desrosiers, Nicolas Thome

    Prépublication · arXiv, 2025.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2512-20675,
      author = {Simon Roy and Samuel Barbeau and Giovanni Beltrame and Christian Desrosiers and Nicolas Thome},
      title = {{Revisiting the Learning Objectives of Vision-Language Reward Models}},
      year = {2025},
      doi = {10.48550/ARXIV.2512.20675},
      eprint = {2512.20675},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2512.20675}
    }
  32. (RSA)²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding.

    Cesare Spinoso Di Piano, David Eric Austin, Pablo Piantanida, Jackie CK Cheung

    Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025.

    Article
    BibTeX
    @inproceedings{DBLP:conf/acl/PianoAPC25,
      author = {Cesare Spinoso Di Piano and David Eric Austin and Pablo Piantanida and Jackie CK Cheung},
      title = {{(RSA)²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding}},
      year = {2025},
      booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025},
      pages = {20898--20938},
      doi = {10.18653/V1/2025.ACL-LONG.1019},
      url = {https://aclanthology.org/2025.acl-long.1019/}
    }
  33. Scenario-Based Robust Optimization of Tree Structures.

    Spyros Angelopoulos, Christoph Dürr, Alex Elenter, Georgii Melidi

    Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2025, Philadelphia, PA, USA, February 25 - March 4, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/aaai/0001DEM25,
      author = {Spyros Angelopoulos and Christoph Dürr and Alex Elenter and Georgii Melidi},
      title = {{Scenario-Based Robust Optimization of Tree Structures}},
      year = {2025},
      booktitle = {Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2025, Philadelphia, PA, USA, February 25 - March 4, 2025},
      pages = {26895--26903},
      doi = {10.1609/AAAI.V39I25.34894},
      eprint = {2408.11422},
      archivePrefix = {arXiv},
      url = {https://ojs.aaai.org/index.php/AAAI/article/view/34894}
    }
  34. Secure Federated Graph-Filtering for Recommender Systems.

    Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates

    Prépublication · arXiv, 2025.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2501-16888,
      author = {Julien Nicolas and César Sabater and Mohamed Maouche and Sonia Ben Mokhtar and Mark Coates},
      title = {{Secure Federated Graph-Filtering for Recommender Systems}},
      year = {2025},
      doi = {10.48550/ARXIV.2501.16888},
      eprint = {2501.16888},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2501.16888}
    }
  35. Statistical Deficiency for Task Inclusion Estimation.

    Loïc Fosse, Frédéric Béchet, Benoît Favre, Géraldine Damnati, Gwénolé Lecorvé, Maxime Darrin, Philippe Formont, Pablo Piantanida

    Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/acl/FosseBFDLDFP25,
      author = {Loïc Fosse and Frédéric Béchet and Benoît Favre and Géraldine Damnati and Gwénolé Lecorvé and Maxime Darrin and Philippe Formont and Pablo Piantanida},
      title = {{Statistical Deficiency for Task Inclusion Estimation}},
      year = {2025},
      booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025},
      pages = {382--415},
      doi = {10.18653/V1/2025.ACL-LONG.18},
      eprint = {2503.05491},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2025.acl-long.18/}
    }
  36. TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning.

    Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain

    The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/iclr/MayetS0GH025,
      author = {Tsiry Mayet and Pourya Shamsolmoali and Simon Bernard and Eric Granger and Romain Hérault and Clément Chatelain},
      title = {{TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning}},
      year = {2025},
      booktitle = {The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025},
      eprint = {2410.09306},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=erWwBoR59l}
    }
  37. Text-Speech Language Models with Improved Cross-Modal Transfer by Aligning Abstraction Levels.

    Santiago Cuervo, Adel Moumen, Yanis Labrak, Sameer Khurana, Antoine Laurent, Mickael Rouvier, Ricard Marxer

    Prépublication · arXiv, 2025.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2503-06211,
      author = {Santiago Cuervo and Adel Moumen and Yanis Labrak and Sameer Khurana and Antoine Laurent and Mickael Rouvier and Ricard Marxer},
      title = {{Text-Speech Language Models with Improved Cross-Modal Transfer by Aligning Abstraction Levels}},
      year = {2025},
      doi = {10.48550/ARXIV.2503.06211},
      eprint = {2503.06211},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2503.06211}
    }
  38. Textualized and Feature-Based Models for Compound Multimodal Emotion Recognition in the Wild.

    Nicolas Richet, Soufiane Belharbi, Haseeb Aslam, Meike Emilie Schadt, Manuela González-González, Gustave Cortal, Alessandro Lameiras Koerich, Marco Pedersoli, Alain Finkel, Simon Bacon, Eric Granger

    Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part XV, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/eccv/RichetBASGCKPFBG24,
      author = {Nicolas Richet and Soufiane Belharbi and Haseeb Aslam and Meike Emilie Schadt and Manuela González-González and Gustave Cortal and Alessandro Lameiras Koerich and Marco Pedersoli and Alain Finkel and Simon Bacon and Eric Granger},
      title = {{Textualized and Feature-Based Models for Compound Multimodal Emotion Recognition in the Wild}},
      year = {2025},
      booktitle = {Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part XV},
      pages = {60--78},
      doi = {10.1007/978-3-031-91581-9_5},
      eprint = {2407.12927},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-031-91581-9_5}
    }
  39. THUNDER: Tile-level Histopathology image UNDERstanding benchmark.

    Pierre Marza, Leo Fillioux, Sofiène Boutaj, Kunal Mahatha, Christian Desrosiers, Pablo Piantanida, Jose Dolz, Stergios Christodoulidis, Maria Vakalopoulou

    Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025., 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/MarzaFBMDPDCV25,
      author = {Pierre Marza and Leo Fillioux and Sofiène Boutaj and Kunal Mahatha and Christian Desrosiers and Pablo Piantanida and Jose Dolz and Stergios Christodoulidis and Maria Vakalopoulou},
      title = {{THUNDER: Tile-level Histopathology image UNDERstanding benchmark}},
      year = {2025},
      booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025},
      eprint = {2507.07860},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2025/hash/e3a2bd22ef74970b2fff74a16f806237-Abstract-Datasets_and_Benchmarks_Track.html}
    }
  40. TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses.

    Sahar Dastani, Ali Bahri, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Samuel Barbeau, Ismail Ben Ayed, Herve Lombaert, Christian Desrosiers

    Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025., 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/DastaniBHYNOBAL25,
      author = {Sahar Dastani and Ali Bahri and Gustavo Adolfo Vargas Hakim and Moslem Yazdanpanah and Mehrdad Noori and David Osowiechi and Samuel Barbeau and Ismail Ben Ayed and Herve Lombaert and Christian Desrosiers},
      title = {{TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses}},
      year = {2025},
      booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025},
      eprint = {2509.22813},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2025/hash/065cb28127caf25d9f186f5460d7bb9c-Abstract-Conference.html}
    }
  41. UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning.

    Long Zhou, Fereshteh Shakeri, Aymen Sadraoui, Mounir Kaaniche, Jean-Christophe Pesquet, Ismail Ben Ayed

    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cvpr/ZhouSSKPA25,
      author = {Long Zhou and Fereshteh Shakeri and Aymen Sadraoui and Mounir Kaaniche and Jean-Christophe Pesquet and Ismail Ben Ayed},
      title = {{UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning}},
      year = {2025},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025},
      pages = {9665--9675},
      doi = {10.1109/CVPR52734.2025.00903},
      eprint = {2412.16739},
      archivePrefix = {arXiv},
      url = {https://openaccess.thecvf.com/content/CVPR2025/html/Zhou_UNEM_UNrolled_Generalized_EM_for_Transductive_Few-Shot_Learning_CVPR_2025_paper.html}
    }
  42. Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation.

    Ségolène Martin, Jean-Christophe Pesquet, Gabriele Steidl, Ismail Ben Ayed

    Prépublication · arXiv, 2025.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2501-07306,
      author = {Ségolène Martin and Jean-Christophe Pesquet and Gabriele Steidl and Ismail Ben Ayed},
      title = {{Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation}},
      year = {2025},
      doi = {10.48550/ARXIV.2501.07306},
      eprint = {2501.07306},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2501.07306}
    }
  43. ViLU: Learning Vision-Language Uncertainties for Failure Prediction.

    Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphaël Fournier-S'niehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome

    IEEE/CVF International Conference on Computer Vision, ICCV 2025, Honolulu, HI, USA, October 19-25, 2025, 2025.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/iccv/LafonKSCRFADT25,
      author = {Marc Lafon and Yannis Karmim and Julio Silva-Rodríguez and Paul Couairon and Clément Rambour and Raphaël Fournier-S'niehotta and Ismail Ben Ayed and Jose Dolz and Nicolas Thome},
      title = {{ViLU: Learning Vision-Language Uncertainties for Failure Prediction}},
      year = {2025},
      booktitle = {IEEE/CVF International Conference on Computer Vision, ICCV 2025, Honolulu, HI, USA, October 19-25, 2025},
      pages = {17807--17817},
      doi = {10.1109/ICCV51701.2025.01654},
      eprint = {2507.07620},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/11444867/}
    }
2024 (41 références)
  1. A Data-Driven Measure of Relative Uncertainty for Misclassification Detection.

    Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler, Pablo Piantanida

    The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/iclr/Gomes0PP24,
      author = {Eduardo Dadalto Câmara Gomes and Marco Romanelli and Georg Pichler and Pablo Piantanida},
      title = {{A Data-Driven Measure of Relative Uncertainty for Misclassification Detection}},
      year = {2024},
      booktitle = {The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024},
      eprint = {2306.01710},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=ruGY8v10mK}
    }
  2. Agent-state based policies in POMDPs: Beyond belief-state MDPs.

    Amit Sinha, Aditya Mahajan

    63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cdc/SinhaM24,
      author = {Amit Sinha and Aditya Mahajan},
      title = {{Agent-state based policies in POMDPs: Beyond belief-state MDPs}},
      year = {2024},
      booktitle = {63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024},
      pages = {6722--6735},
      doi = {10.1109/CDC56724.2024.10886046},
      eprint = {2409.15703},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10886046/}
    }
  3. A linguistically-motivated evaluation methodology for unraveling model's abilities in reading comprehension tasks.

    Elie Antoine, Frédéric Béchet, Géraldine Damnati, Philippe Langlais

    Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/emnlp/AntoineBDL24,
      author = {Elie Antoine and Frédéric Béchet and Géraldine Damnati and Philippe Langlais},
      title = {{A linguistically-motivated evaluation methodology for unraveling model's abilities in reading comprehension tasks}},
      year = {2024},
      booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024},
      pages = {18376--18392},
      doi = {10.18653/V1/2024.EMNLP-MAIN.1021},
      eprint = {2501.17569},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2024.emnlp-main.1021}
    }
  4. A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer.

    Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed

    IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/isbi/SadraouiMBLPGA24,
      author = {Aymen Sadraoui and Ségolène Martin and Eliott Barbot and Astrid Laurent-Bellue and Jean-Christophe Pesquet and Catherine Guettier and Ismail Ben Ayed},
      title = {{A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer}},
      year = {2024},
      booktitle = {IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024},
      pages = {1--5},
      doi = {10.1109/ISBI56570.2024.10635817},
      eprint = {2311.17740},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10635817/}
    }
  5. A vector almost-supermartingale convergence theorem and its applications.

    Aditya Mahajan, Silviu-Iulian Niculescu, Mathukumalli Vidyasagar

    63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024.

    Article
    BibTeX
    @inproceedings{DBLP:conf/cdc/MahajanNV24a,
      author = {Aditya Mahajan and Silviu-Iulian Niculescu and Mathukumalli Vidyasagar},
      title = {{A vector almost-supermartingale convergence theorem and its applications}},
      year = {2024},
      booktitle = {63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024},
      pages = {3877--3882},
      doi = {10.1109/CDC56724.2024.10886079},
      url = {https://ieeexplore.ieee.org/document/10886079/}
    }
  6. Beyond the Norms: Detecting Prediction Errors in Regression Models.

    Andrés Altieri, Marco Romanelli, Georg Pichler, Florence Alberge, Pablo Piantanida

    Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/icml/Altieri0PAP24,
      author = {Andrés Altieri and Marco Romanelli and Georg Pichler and Florence Alberge and Pablo Piantanida},
      title = {{Beyond the Norms: Detecting Prediction Errors in Regression Models}},
      year = {2024},
      booktitle = {Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024},
      pages = {1186--1221},
      eprint = {2406.06968},
      archivePrefix = {arXiv},
      url = {https://proceedings.mlr.press/v235/altieri24a.html}
    }
  7. Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection.

    Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida

    Trans. Mach. Learn. Res., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tmlr/GomesADP24,
      author = {Eduardo Dadalto Câmara Gomes and Florence Alberge and Pierre Duhamel and Pablo Piantanida},
      title = {{Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection}},
      year = {2024},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2024},
      eprint = {2406.16045},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=VGNBUS9TrU}
    }
  8. Constant step-size stochastic approximation with delayed updates.

    Aditya Mahajan, Silviu-Iulian Niculescu, Mathukumalli Vidyasagar

    63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024.

    Article
    BibTeX
    @inproceedings{DBLP:conf/cdc/MahajanNV24,
      author = {Aditya Mahajan and Silviu-Iulian Niculescu and Mathukumalli Vidyasagar},
      title = {{Constant step-size stochastic approximation with delayed updates}},
      year = {2024},
      booktitle = {63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024},
      pages = {3303--3308},
      doi = {10.1109/CDC56724.2024.10886824},
      url = {https://ieeexplore.ieee.org/document/10886824/}
    }
  9. COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation.

    Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida

    Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/acl/DarrinFCP24,
      author = {Maxime Darrin and Philippe Formont and Jackie Chi Kit Cheung and Pablo Piantanida},
      title = {{COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation}},
      year = {2024},
      booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024},
      pages = {12696--12717},
      doi = {10.18653/V1/2024.ACL-LONG.686},
      eprint = {2402.19457},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2024.acl-long.686}
    }
  10. Differentially private and decentralized randomized power method.

    Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates

    Prépublication · arXiv, 2024.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2411-01931,
      author = {Julien Nicolas and César Sabater and Mohamed Maouche and Sonia Ben Mokhtar and Mark Coates},
      title = {{Differentially private and decentralized randomized power method}},
      year = {2024},
      doi = {10.48550/ARXIV.2411.01931},
      eprint = {2411.01931},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2411.01931}
    }
  11. Do we really need dice? The hidden region-size biases of segmentation losses.

    Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed

    Medical Image Anal., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/mia/LiuDGKA24,
      author = {Bingyuan Liu and Jose Dolz and Adrian Galdran and Riadh Kobbi and Ismail Ben Ayed},
      title = {{Do we really need dice? The hidden region-size biases of segmentation losses}},
      year = {2024},
      journal = {Medical Image Anal.},
      volume = {91},
      pages = {103015},
      doi = {10.1016/J.MEDIA.2023.103015},
      eprint = {2104.08717},
      archivePrefix = {arXiv},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S136184152300275X}
    }
  12. Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement.

    Elie Antoine, Frédéric Béchet, Géraldine Damnati, Philippe Langlais

    Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2024 - Volume 1 : articles longs et prises de position, Toulouse, France, July 8-12, 2024, 2024.

    Article
    BibTeX
    @inproceedings{DBLP:conf/taln/AntoineBDL24,
      author = {Elie Antoine and Frédéric Béchet and Géraldine Damnati and Philippe Langlais},
      title = {{Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement}},
      year = {2024},
      booktitle = {Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2024 - Volume 1 : articles longs et prises de position, Toulouse, France, July 8-12, 2024},
      pages = {384--396},
      url = {https://aclanthology.org/2024.jeptalnrecital-taln.27}
    }
  13. GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews.

    Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie Chi Kit Cheung

    Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/acl/DarrinAPC24,
      author = {Maxime Darrin and Ines Arous and Pablo Piantanida and Jackie Chi Kit Cheung},
      title = {{GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews}},
      year = {2024},
      booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024},
      pages = {12737--12752},
      doi = {10.18653/V1/2024.ACL-LONG.688},
      eprint = {2406.07359},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2024.acl-long.688}
    }
  14. Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks.

    Eunice Akani, Benoît Favre, Frédéric Béchet, Romain Gemignani

    Prépublication · arXiv, 2024.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2409-10070,
      author = {Eunice Akani and Benoît Favre and Frédéric Béchet and Romain Gemignani},
      title = {{Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks}},
      year = {2024},
      doi = {10.48550/ARXIV.2409.10070},
      eprint = {2409.10070},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2409.10070}
    }
  15. On Learning Whittle Index Policy for Restless Bandits With Scalable Regret.

    Nima Akbarzadeh, Aditya Mahajan

    IEEE Trans. Control. Netw. Syst., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tcns/AkbarzadehM24,
      author = {Nima Akbarzadeh and Aditya Mahajan},
      title = {{On Learning Whittle Index Policy for Restless Bandits With Scalable Regret}},
      year = {2024},
      journal = {IEEE Trans. Control. Netw. Syst.},
      volume = {11},
      number = {3},
      pages = {1190--1202},
      doi = {10.1109/TCNS.2023.3333402},
      eprint = {2202.03463},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10319692/}
    }
  16. Online computation with untrusted advice.

    Spyros Angelopoulos, Christoph Dürr, Shendan Jin, Shahin Kamali, Marc P. Renault

    J. Comput. Syst. Sci., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/jcss/AngelopoulosDJKR24,
      author = {Spyros Angelopoulos and Christoph Dürr and Shendan Jin and Shahin Kamali and Marc P. Renault},
      title = {{Online computation with untrusted advice}},
      year = {2024},
      journal = {J. Comput. Syst. Sci.},
      volume = {144},
      pages = {103545},
      doi = {10.1016/J.JCSS.2024.103545},
      eprint = {1905.05655},
      archivePrefix = {arXiv},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S0022000024000400}
    }
  17. On the Convergence of Semi Unsupervised Calibration through Prior Adaptation Algorithm.

    Lautaro Estienne, Roberta Hansen, Matías Vera, Luciana Ferrer, Pablo Piantanida

    Prépublication · arXiv, 2024.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2401-03051,
      author = {Lautaro Estienne and Roberta Hansen and Matías Vera and Luciana Ferrer and Pablo Piantanida},
      title = {{On the Convergence of Semi Unsupervised Calibration through Prior Adaptation Algorithm}},
      year = {2024},
      doi = {10.48550/ARXIV.2401.03051},
      eprint = {2401.03051},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2401.03051}
    }
  18. On the incompatibility of accuracy and equal opportunity.

    Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia

    Mach. Learn., 2024.

    Article
    BibTeX
    @article{DBLP:journals/ml/PinzonPPV24,
      author = {Carlos Pinzón and Catuscia Palamidessi and Pablo Piantanida and Frank Valencia},
      title = {{On the incompatibility of accuracy and equal opportunity}},
      year = {2024},
      journal = {Mach. Learn.},
      volume = {113},
      number = {5},
      pages = {2405--2434},
      doi = {10.1007/S10994-023-06331-Y},
      url = {https://link.springer.com/10.1007/s10994-023-06331-y}
    }
  19. Optimal Zero-Shot Detector for Multi-Armed Attacks.

    Federica Granese, Marco Romanelli, Pablo Piantanida

    International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/aistats/Granese0P24,
      author = {Federica Granese and Marco Romanelli and Pablo Piantanida},
      title = {{Optimal Zero-Shot Detector for Multi-Armed Attacks}},
      year = {2024},
      booktitle = {International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain},
      pages = {2467--2475},
      eprint = {2402.15808},
      archivePrefix = {arXiv},
      url = {https://proceedings.mlr.press/v238/granese24a.html}
    }
  20. Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms.

    Alex Elenter, Spyros Angelopoulos, Christoph Dürr, Yanni Lefki

    Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024., 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/Elenter0DL24,
      author = {Alex Elenter and Spyros Angelopoulos and Christoph Dürr and Yanni Lefki},
      title = {{Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms}},
      year = {2024},
      booktitle = {Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024},
      eprint = {2408.04122},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2024/hash/11c6625b0481a7d5625831369f6b7c82-Abstract-Conference.html}
    }
  21. Part-Of-Speech Sensitivity of Routers in Mixture of Experts Models.

    Elie Antoine, Frédéric Béchet, Philippe Langlais

    Prépublication · arXiv, 2024.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2412-16971,
      author = {Elie Antoine and Frédéric Béchet and Philippe Langlais},
      title = {{Part-Of-Speech Sensitivity of Routers in Mixture of Experts Models}},
      year = {2024},
      doi = {10.48550/ARXIV.2412.16971},
      eprint = {2412.16971},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2412.16971}
    }
  22. Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning.

    Georg Pichler, Marco Romanelli, Leonardo Rey Vega, Pablo Piantanida

    IEEE Trans. Dependable Secur. Comput., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tdsc/Pichler0VP24,
      author = {Georg Pichler and Marco Romanelli and Leonardo Rey Vega and Pablo Piantanida},
      title = {{Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning}},
      year = {2024},
      journal = {IEEE Trans. Dependable Secur. Comput.},
      volume = {21},
      number = {4},
      pages = {4290--4296},
      doi = {10.1109/TDSC.2023.3326230},
      eprint = {2203.16463},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10288414/}
    }
  23. Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE.

    Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann

    Prépublication · arXiv, 2024.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2406-14404,
      author = {Florence Regol and Joud Chataoui and Bertrand Charpentier and Mark Coates and Pablo Piantanida and Stephan Günnemann},
      title = {{Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE}},
      year = {2024},
      doi = {10.48550/ARXIV.2406.14404},
      eprint = {2406.14404},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2406.14404}
    }
  24. Preserving Privacy in GANs Against Membership Inference Attack.

    Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau, Pablo Piantanida

    IEEE Trans. Inf. Forensics Secur., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tifs/ShateriMLP24,
      author = {Mohammadhadi Shateri and Francisco Messina and Fabrice Labeau and Pablo Piantanida},
      title = {{Preserving Privacy in GANs Against Membership Inference Attack}},
      year = {2024},
      journal = {IEEE Trans. Inf. Forensics Secur.},
      volume = {19},
      pages = {1728--1743},
      doi = {10.1109/TIFS.2023.3342654},
      eprint = {2311.03172},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10359117/}
    }
  25. RIS-Enabled Anti-Interference in LoRa Systems.

    Zhaokun Liang, Guofa Cai, Jiguang He, Georges Kaddoum, Chongwen Huang, Mérouane Debbah

    IEEE Trans. Commun., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tcom/LiangCHKHD24,
      author = {Zhaokun Liang and Guofa Cai and Jiguang He and Georges Kaddoum and Chongwen Huang and Mérouane Debbah},
      title = {{RIS-Enabled Anti-Interference in LoRa Systems}},
      year = {2024},
      journal = {IEEE Trans. Commun.},
      volume = {72},
      number = {10},
      pages = {6599--6616},
      doi = {10.1109/TCOMM.2024.3402146},
      eprint = {2311.02917},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10531262/}
    }
  26. Robust Video List Decoding in Error-Prone Transmission Systems Using a Deep Learning Approach.

    Yujing Zhang, Stéphane Coulombe, François-Xavier Coudoux, Alexis Guichemerre, Patrick Corlay

    IEEE Access, 2024.

    Article
    BibTeX
    @article{DBLP:journals/access/ZhangCCGC24,
      author = {Yujing Zhang and Stéphane Coulombe and François-Xavier Coudoux and Alexis Guichemerre and Patrick Corlay},
      title = {{Robust Video List Decoding in Error-Prone Transmission Systems Using a Deep Learning Approach}},
      year = {2024},
      journal = {IEEE Access},
      volume = {12},
      pages = {170632--170647},
      doi = {10.1109/ACCESS.2024.3501152},
      url = {https://ieeexplore.ieee.org/document/10755955/}
    }
  27. Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology.

    Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger

    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cvpr/GuichemerreBMMS22,
      author = {Alexis Guichemerre and Soufiane Belharbi and Tsiry Mayet and Shakeeb Murtaza and Pourya Shamsolmoali and Luke McCaffrey and Eric Granger},
      title = {{Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology}},
      year = {2024},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024},
      pages = {33--43},
      doi = {10.1109/CVPRW63382.2024.00008},
      eprint = {2404.19113},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10678508/}
    }
  28. Special section: Best papers of the international conference on pattern recognition and artificial intelligence (ICPRAI) 2022.

    Mounîm A. El-Yacoubi, Umapada Pal, Eric Granger, Pong Chi Yuen

    Pattern Recognit. Lett., 2024.

    Article
    BibTeX
    @article{DBLP:journals/prl/ElYacoubiPGY24,
      author = {Mounîm A. El-Yacoubi and Umapada Pal and Eric Granger and Pong Chi Yuen},
      title = {{Special section: Best papers of the international conference on pattern recognition and artificial intelligence (ICPRAI) 2022}},
      year = {2024},
      journal = {Pattern Recognit. Lett.},
      volume = {177},
      pages = {150},
      doi = {10.1016/J.PATREC.2023.12.011},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S0167865523003586}
    }
  29. TFS-ViT: Token-level feature stylization for domain generalization.

    Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers

    Pattern Recognit., 2024.

    Article arXiv
    BibTeX
    @article{DBLP:journals/pr/NooriCBHOAD24,
      author = {Mehrdad Noori and Milad Cheraghalikhani and Ali Bahri and Gustavo Adolfo Vargas Hakim and David Osowiechi and Ismail Ben Ayed and Christian Desrosiers},
      title = {{TFS-ViT: Token-level feature stylization for domain generalization}},
      year = {2024},
      journal = {Pattern Recognit.},
      volume = {149},
      pages = {110213},
      doi = {10.1016/J.PATCOG.2023.110213},
      eprint = {2303.15698},
      archivePrefix = {arXiv},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S003132032300910X}
    }
  30. Training Graph Neural Networks Subject to a Tight Lipschitz Constraint.

    Simona Ioana Juvina, Ana Antonia Neacsu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed

    Trans. Mach. Learn. Res., 2024.

    Article
    BibTeX
    @article{DBLP:journals/tmlr/JuvinaNRPBA24,
      author = {Simona Ioana Juvina and Ana Antonia Neacsu and Jérôme Rony and Jean-Christophe Pesquet and Corneliu Burileanu and Ismail Ben Ayed},
      title = {{Training Graph Neural Networks Subject to a Tight Lipschitz Constraint}},
      year = {2024},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2024},
      url = {https://openreview.net/forum?id=KLojVqdj2y}
    }
  31. Transductive Zero-Shot and Few-Shot CLIP.

    Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed

    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cvpr/MartinHSPA24,
      author = {Ségolène Martin and Yunshi Huang and Fereshteh Shakeri and Jean-Christophe Pesquet and Ismail Ben Ayed},
      title = {{Transductive Zero-Shot and Few-Shot CLIP}},
      year = {2024},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024},
      pages = {28816--28826},
      doi = {10.1109/CVPR52733.2024.02722},
      eprint = {2405.18437},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10655881/}
    }
  32. Two families of indexable partially observable restless bandits and Whittle index computation.

    Nima Akbarzadeh, Aditya Mahajan

    Perform. Evaluation, 2024.

    Article
    BibTeX
    @article{DBLP:journals/pe/AkbarzadehM24,
      author = {Nima Akbarzadeh and Aditya Mahajan},
      title = {{Two families of indexable partially observable restless bandits and Whittle index computation}},
      year = {2024},
      journal = {Perform. Evaluation},
      volume = {163},
      pages = {102394},
      doi = {10.1016/J.PEVA.2023.102394},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S0166531623000640}
    }
  33. Two-stage Multiple-Model Compression Approach for Sampled Electrical Signals.

    Corentin Presvôts, Michel Kieffer, Thibault Prevost, Patrick Panciatici, Zuxing Li, Pablo Piantanida

    Data Compression Conference, DCC 2024, Snowbird, UT, USA, March 19-22, 2024, 2024.

    Article
    BibTeX
    @inproceedings{DBLP:conf/dcc/PresvotsKPPLP24,
      author = {Corentin Presvôts and Michel Kieffer and Thibault Prevost and Patrick Panciatici and Zuxing Li and Pablo Piantanida},
      title = {{Two-stage Multiple-Model Compression Approach for Sampled Electrical Signals}},
      year = {2024},
      booktitle = {Data Compression Conference, DCC 2024, Snowbird, UT, USA, March 19-22, 2024},
      pages = {522--531},
      doi = {10.1109/DCC58796.2024.00060},
      url = {https://ieeexplore.ieee.org/document/10533824/}
    }
  34. Unified Framework for Spoken Language Understanding and Summarization in Task-Based Human Dialog processing.

    Eunice Akani, Frédéric Béchet, Benoît Favre, Romain Gemignani

    25th Annual Conference of the International Speech Communication Association, Interspeech 2024, Kos, Greece, September 1-5, 2024., 2024.

    Article
    BibTeX
    @inproceedings{DBLP:conf/interspeech/AkaniBFG24,
      author = {Eunice Akani and Frédéric Béchet and Benoît Favre and Romain Gemignani},
      title = {{Unified Framework for Spoken Language Understanding and Summarization in Task-Based Human Dialog processing}},
      year = {2024},
      booktitle = {25th Annual Conference of the International Speech Communication Association, Interspeech 2024, Kos, Greece, September 1-5, 2024},
      doi = {10.21437/INTERSPEECH.2024-2276},
      url = {https://www.isca-archive.org/interspeech_2024/akani24_interspeech.html}
    }
  35. Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection.

    Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo

    Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2024, February 20-27, 2024, Vancouver, Canada, 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/aaai/DarrinSGCPC24,
      author = {Maxime Darrin and Guillaume Staerman and Eduardo Dadalto Câmara Gomes and Jackie C. K. Cheung and Pablo Piantanida and Pierre Colombo},
      title = {{Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection}},
      year = {2024},
      booktitle = {Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2024, February 20-27, 2024, Vancouver, Canada},
      pages = {17880--17888},
      doi = {10.1609/AAAI.V38I16.29742},
      eprint = {2302.09852},
      archivePrefix = {arXiv},
      url = {https://ojs.aaai.org/index.php/AAAI/article/view/29742}
    }
  36. WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average.

    Louis Fournier, Adel Nabli, Masih Aminbeidokhti, Marco Pedersoli, Eugene Belilovsky, Edouard Oyallon

    Prépublication · arXiv, 2024.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2405-17517,
      author = {Louis Fournier and Adel Nabli and Masih Aminbeidokhti and Marco Pedersoli and Eugene Belilovsky and Edouard Oyallon},
      title = {{WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average}},
      year = {2024},
      doi = {10.48550/ARXIV.2405.17517},
      eprint = {2405.17517},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2405.17517}
    }
  37. WATT: Weight Average Test Time Adaptation of CLIP.

    David Osowiechi, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

    Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024., 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/OsowiechiNHYBCD24,
      author = {David Osowiechi and Mehrdad Noori and Gustavo Adolfo Vargas Hakim and Moslem Yazdanpanah and Ali Bahri and Milad Cheraghalikhani and Sahar Dastani and Farzad Beizaee and Ismail Ben Ayed and Christian Desrosiers},
      title = {{WATT: Weight Average Test Time Adaptation of CLIP}},
      year = {2024},
      booktitle = {Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024},
      eprint = {2406.13875},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2024/hash/55d16334943f8728073e17139e5baa3d-Abstract-Conference.html}
    }
  38. When is an Embedding Model More Promising than Another?

    Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida

    Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024., 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/DarrinFACP24,
      author = {Maxime Darrin and Philippe Formont and Ismail Ben Ayed and Jackie CK Cheung and Pablo Piantanida},
      title = {{When is an Embedding Model More Promising than Another?}},
      year = {2024},
      booktitle = {Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024},
      eprint = {2406.07640},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2024/hash/7e6f445a74cdb71931aac64f1e3f49c9-Abstract-Conference.html}
    }
  39. WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models.

    Hichem Ammar Khodja, Frédéric Béchet, Quentin Brabant, Alexis Nasr, Gwénolé Lecorvé

    Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy., 2024.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/coling/KhodjaBBNL24,
      author = {Hichem Ammar Khodja and Frédéric Béchet and Quentin Brabant and Alexis Nasr and Gwénolé Lecorvé},
      title = {{WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models}},
      year = {2024},
      booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy},
      pages = {17614--17624},
      eprint = {2403.14364},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2024.lrec-main.1532}
    }
  40. WikiFactDiff: Un Grand jeu de données Réaliste et Temporellement Adaptable pour la Mise à Jour Atomique des Connaissances Factuelles dans les Modèles de Langue Causaux.

    Hichem Ammar Khodja, Frédéric Béchet, Quentin Brabant, Alexis Nasr, Gwénolé Lecorvé

    Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2024 - Volume 1 : articles longs et prises de position, Toulouse, France, July 8-12, 2024, 2024.

    Article
    BibTeX
    @inproceedings{DBLP:conf/taln/KhodjaBBNL24,
      author = {Hichem Ammar Khodja and Frédéric Béchet and Quentin Brabant and Alexis Nasr and Gwénolé Lecorvé},
      title = {{WikiFactDiff: Un Grand jeu de données Réaliste et Temporellement Adaptable pour la Mise à Jour Atomique des Connaissances Factuelles dans les Modèles de Langue Causaux}},
      year = {2024},
      booktitle = {Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2024 - Volume 1 : articles longs et prises de position, Toulouse, France, July 8-12, 2024},
      pages = {262--281},
      url = {https://aclanthology.org/2024.jeptalnrecital-taln.18}
    }
  41. Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation.

    Shambhavi Mishra, Julio Silva-Rodríguez, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

    Prépublication · arXiv, 2024.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2411-17002,
      author = {Shambhavi Mishra and Julio Silva-Rodríguez and Ismail Ben Ayed and Marco Pedersoli and Jose Dolz},
      title = {{Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation}},
      year = {2024},
      doi = {10.48550/ARXIV.2411.17002},
      eprint = {2411.17002},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2411.17002}
    }
2023 (26 références)
  1. Adversarial Robustness Via Fisher-Rao Regularization.

    Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida

    IEEE Trans. Pattern Anal. Mach. Intell., 2023.

    Article arXiv
    BibTeX
    @article{DBLP:journals/pami/PicotMBLAP23,
      author = {Marine Picot and Francisco Messina and Malik Boudiaf and Fabrice Labeau and Ismail Ben Ayed and Pablo Piantanida},
      title = {{Adversarial Robustness Via Fisher-Rao Regularization}},
      year = {2023},
      journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
      volume = {45},
      number = {3},
      pages = {2698--2710},
      doi = {10.1109/TPAMI.2022.3174724},
      eprint = {2106.06685},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/9773978/}
    }
  2. A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection.

    Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

    Prépublication · arXiv, 2023.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2306-03522,
      author = {Eduardo Dadalto Câmara Gomes and Pierre Colombo and Guillaume Staerman and Nathan Noiry and Pablo Piantanida},
      title = {{A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection}},
      year = {2023},
      doi = {10.48550/ARXIV.2306.03522},
      eprint = {2306.03522},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2306.03522}
    }
  3. A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection.

    Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo

    Trans. Mach. Learn. Res., 2023.

    Article
    BibTeX
    @article{DBLP:journals/tmlr/PicotGSRMPC23,
      author = {Marine Picot and Federica Granese and Guillaume Staerman and Marco Romanelli and Francisco Messina and Pablo Piantanida and Pierre Colombo},
      title = {{A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection}},
      year = {2023},
      journal = {Trans. Mach. Learn. Res.},
      volume = {2023},
      url = {https://openreview.net/forum?id=YtU0nDb5e8}
    }
  4. A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification.

    Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida

    Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 - Findings, Nusa Dua, Bali, November 1-4, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/ijcnlp/ColomboNSP23,
      author = {Pierre Colombo and Nathan Noiry and Guillaume Staerman and Pablo Piantanida},
      title = {{A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification}},
      year = {2023},
      booktitle = {Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 - Findings, Nusa Dua, Bali, November 1-4, 2023},
      pages = {184--198},
      doi = {10.18653/V1/2023.FINDINGS-IJCNLP.17},
      eprint = {2310.13990},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2023.findings-ijcnlp.17}
    }
  5. Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development.

    Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh

    Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/aies/RismaniSSSMR23,
      author = {Shalaleh Rismani and Renee Shelby and Andrew Smart and Renelito Delos Santos and AJung Moon and Negar Rostamzadeh},
      title = {{Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development}},
      year = {2023},
      booktitle = {Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023},
      pages = {70--83},
      doi = {10.1145/3600211.3604685},
      eprint = {2307.10312},
      archivePrefix = {arXiv},
      url = {https://dl.acm.org/doi/10.1145/3600211.3604685}
    }
  6. Bounding information leakage in machine learning.

    Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida

    Neurocomputing, 2023.

    Article arXiv
    BibTeX
    @article{DBLP:journals/ijon/GrossoPPP23,
      author = {Ganesh Del Grosso and Georg Pichler and Catuscia Palamidessi and Pablo Piantanida},
      title = {{Bounding information leakage in machine learning}},
      year = {2023},
      journal = {Neurocomputing},
      volume = {534},
      pages = {1--17},
      doi = {10.1016/J.NEUCOM.2023.02.058},
      eprint = {2105.03875},
      archivePrefix = {arXiv},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S0925231223002072}
    }
  7. Calibrating segmentation networks with margin-based label smoothing.

    Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz

    Medical Image Anal., 2023.

    Article arXiv
    BibTeX
    @article{DBLP:journals/mia/MurugesanLGAD23,
      author = {Balamurali Murugesan and Bingyuan Liu and Adrian Galdran and Ismail Ben Ayed and Jose Dolz},
      title = {{Calibrating segmentation networks with margin-based label smoothing}},
      year = {2023},
      journal = {Medical Image Anal.},
      volume = {87},
      pages = {102826},
      doi = {10.1016/J.MEDIA.2023.102826},
      eprint = {2209.09641},
      archivePrefix = {arXiv},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S1361841523000841}
    }
  8. CROP: Cluster-Based Routing Using Optimized Framework for IoT-Based Precision Agriculture.

    Sandeep Verma, Satnam Kaur, Aneek Adhya, Georges Kaddoum, Bouziane Brik

    IEEE International Conference on Communications, ICC 2023, Rome, Italy, May 28 - June 1, 2023, 2023.

    Article
    BibTeX
    @inproceedings{DBLP:conf/icc/VermaKAKB23,
      author = {Sandeep Verma and Satnam Kaur and Aneek Adhya and Georges Kaddoum and Bouziane Brik},
      title = {{CROP: Cluster-Based Routing Using Optimized Framework for IoT-Based Precision Agriculture}},
      year = {2023},
      booktitle = {IEEE International Conference on Communications, ICC 2023, Rome, Italy, May 28 - June 1, 2023},
      pages = {4725--4730},
      doi = {10.1109/ICC45041.2023.10279747},
      url = {https://ieeexplore.ieee.org/document/10279747/}
    }
  9. Decentralized Linear Quadratic Systems With Major and Minor Agents and Non-Gaussian Noise.

    Mohammad Afshari, Aditya Mahajan

    IEEE Trans. Autom. Control., 2023.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tac/AfshariM23,
      author = {Mohammad Afshari and Aditya Mahajan},
      title = {{Decentralized Linear Quadratic Systems With Major and Minor Agents and Non-Gaussian Noise}},
      year = {2023},
      journal = {IEEE Trans. Autom. Control.},
      volume = {68},
      number = {8},
      pages = {4666--4681},
      doi = {10.1109/TAC.2022.3210049},
      eprint = {2004.11856},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/9904296/}
    }
  10. Deep learning assisted quality ranking for list decoding of videos subject to transmission errors.

    Alexis Guichemerre, Stéphane Coulombe, Anthony Trioux, François-Xavier Coudoux, Patrick Corlay

    19th International Conference on Wireless and Mobile Computing, Networking and Communication,, WiMob 2023, Montreal, QC, Canada, June 21-23, 2023, 2023.

    Article
    BibTeX
    @inproceedings{DBLP:conf/wimob/GuichemerreCTCC23,
      author = {Alexis Guichemerre and Stéphane Coulombe and Anthony Trioux and François-Xavier Coudoux and Patrick Corlay},
      title = {{Deep learning assisted quality ranking for list decoding of videos subject to transmission errors}},
      year = {2023},
      booktitle = {19th International Conference on Wireless and Mobile Computing, Networking and Communication,, WiMob 2023, Montreal, QC, Canada, June 21-23, 2023},
      pages = {135--142},
      doi = {10.1109/WIMOB58348.2023.10187827},
      url = {https://ieeexplore.ieee.org/document/10187827/}
    }
  11. Energy Efficiency Optimization in LoRa Networks - A Deep Learning Approach.

    Lam-Thanh Tu, Abbas Bradai, Olfa Ben Ahmed, Sahil Garg, Yannis Pousset, Georges Kaddoum

    IEEE Trans. Intell. Transp. Syst., 2023.

    Article
    BibTeX
    @article{DBLP:journals/tits/TuBAGPK23,
      author = {Lam-Thanh Tu and Abbas Bradai and Olfa Ben Ahmed and Sahil Garg and Yannis Pousset and Georges Kaddoum},
      title = {{Energy Efficiency Optimization in LoRa Networks - A Deep Learning Approach}},
      year = {2023},
      journal = {IEEE Trans. Intell. Transp. Syst.},
      volume = {24},
      number = {12},
      pages = {15435--15447},
      doi = {10.1109/TITS.2022.3183073},
      url = {https://ieeexplore.ieee.org/document/9802526/}
    }
  12. From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML.

    Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh

    Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/chi/RismaniSSJKMR23,
      author = {Shalaleh Rismani and Renee Shelby and Andrew Smart and Edgar W. Jatho III and Joshua A. Kroll and AJung Moon and Negar Rostamzadeh},
      title = {{From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML}},
      year = {2023},
      booktitle = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023},
      pages = {2:1--2:18},
      doi = {10.1145/3544548.3581407},
      eprint = {2210.03535},
      archivePrefix = {arXiv},
      url = {https://dl.acm.org/doi/10.1145/3544548.3581407}
    }
  13. MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors.

    Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida

    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/pkdd/GranesePRMP22,
      author = {Federica Granese and Marine Picot and Marco Romanelli and Francesco Messina and Pablo Piantanida},
      title = {{MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors}},
      year = {2023},
      booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III},
      pages = {286--303},
      doi = {10.1007/978-3-031-26409-2_18},
      eprint = {2206.15415},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-031-26409-2_18}
    }
  14. On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper).

    Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida

    Proceedings of the 24th Italian Conference on Theoretical Computer Science, Palermo, Italy, September 13-15, 2023., 2023.

    Article
    BibTeX
    @inproceedings{DBLP:conf/ictcs/GorlaJGPP23,
      author = {Daniele Gorla and Louis Jalouzot and Federica Granese and Catuscia Palamidessi and Pablo Piantanida},
      title = {{On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper)}},
      year = {2023},
      booktitle = {Proceedings of the 24th Italian Conference on Theoretical Computer Science, Palermo, Italy, September 13-15, 2023},
      pages = {219--224},
      url = {https://ceur-ws.org/Vol-3587/8823.pdf}
    }
  15. Open-Set Likelihood Maximization for Few-Shot Learning.

    Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed

    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cvpr/BoudiafBTTPHA23,
      author = {Malik Boudiaf and Etienne Bennequin and Myriam Tami and Antoine Toubhans and Pablo Piantanida and Céline Hudelot and Ismail Ben Ayed},
      title = {{Open-Set Likelihood Maximization for Few-Shot Learning}},
      year = {2023},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023},
      pages = {24007--24016},
      doi = {10.1109/CVPR52729.2023.02299},
      eprint = {2301.08390},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10204877/}
    }
  16. Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation.

    Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins

    Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023., 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/acl/GuerreiroCPM23,
      author = {Nuno Miguel Guerreiro and Pierre Colombo and Pablo Piantanida and André F. T. Martins},
      title = {{Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation}},
      year = {2023},
      booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
      pages = {13766--13784},
      doi = {10.18653/V1/2023.ACL-LONG.770},
      eprint = {2212.09631},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2023.acl-long.770}
    }
  17. Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging.

    Issam Serraoui, Eric Granger, Abdenour Hadid, Abdelmalik Taleb-Ahmed

    Prépublication · arXiv, 2023.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2312-06920,
      author = {Issam Serraoui and Eric Granger and Abdenour Hadid and Abdelmalik Taleb-Ahmed},
      title = {{Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging}},
      year = {2023},
      doi = {10.48550/ARXIV.2312.06920},
      eprint = {2312.06920},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2312.06920}
    }
  18. Proximal Splitting Adversarial Attack for Semantic Segmentation.

    Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed

    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cvpr/RonyPA23,
      author = {Jérôme Rony and Jean-Christophe Pesquet and Ismail Ben Ayed},
      title = {{Proximal Splitting Adversarial Attack for Semantic Segmentation}},
      year = {2023},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023},
      pages = {20524--20533},
      doi = {10.1109/CVPR52729.2023.01966},
      eprint = {2206.07179},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/10204321/}
    }
  19. RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data.

    Maxime Darrin, Pablo Piantanida, Pierre Colombo

    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/emnlp/DarrinPC23,
      author = {Maxime Darrin and Pablo Piantanida and Pierre Colombo},
      title = {{RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data}},
      year = {2023},
      booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
      pages = {5831--5857},
      doi = {10.18653/V1/2023.EMNLP-MAIN.357},
      eprint = {2212.09171},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2023.emnlp-main.357}
    }
  20. Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction.

    Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk

    Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/aies/ShelbyRHMRNYGSG23,
      author = {Renee Shelby and Shalaleh Rismani and Kathryn Henne and AJung Moon and Negar Rostamzadeh and Paul Nicholas and N'Mah Yilla-Akbari and Jess Gallegos and Andrew Smart and Emilio García and Gurleen Virk},
      title = {{Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction}},
      year = {2023},
      booktitle = {Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023},
      pages = {723--741},
      doi = {10.1145/3600211.3604673},
      eprint = {2210.05791},
      archivePrefix = {arXiv},
      url = {https://dl.acm.org/doi/10.1145/3600211.3604673}
    }
  21. The Glass Ceiling of Automatic Evaluation in Natural Language Generation.

    Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida

    Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 - Findings, Nusa Dua, Bali, November 1-4, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/ijcnlp/ColomboPNWP23,
      author = {Pierre Colombo and Maxime Peyrard and Nathan Noiry and Robert West and Pablo Piantanida},
      title = {{The Glass Ceiling of Automatic Evaluation in Natural Language Generation}},
      year = {2023},
      booktitle = {Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 - Findings, Nusa Dua, Bali, November 1-4, 2023},
      pages = {178--183},
      doi = {10.18653/V1/2023.FINDINGS-IJCNLP.16},
      eprint = {2208.14585},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2023.findings-ijcnlp.16}
    }
  22. The role of mutual information in variational classifiers.

    Matías Vera, Leonardo Rey Vega, Pablo Piantanida

    Mach. Learn., 2023.

    Article arXiv
    BibTeX
    @article{DBLP:journals/ml/VeraVP23,
      author = {Matías Vera and Leonardo Rey Vega and Pablo Piantanida},
      title = {{The role of mutual information in variational classifiers}},
      year = {2023},
      journal = {Mach. Learn.},
      volume = {112},
      number = {9},
      pages = {3105--3150},
      doi = {10.1007/S10994-023-06337-6},
      eprint = {2010.11642},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/s10994-023-06337-6}
    }
  23. Toward Stronger Textual Attack Detectors.

    Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida

    Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023., 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/emnlp/ColomboPNSP23,
      author = {Pierre Colombo and Marine Picot and Nathan Noiry and Guillaume Staerman and Pablo Piantanida},
      title = {{Toward Stronger Textual Attack Detectors}},
      year = {2023},
      booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023},
      pages = {484--505},
      doi = {10.18653/V1/2023.FINDINGS-EMNLP.35},
      eprint = {2310.14001},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2023.findings-emnlp.35}
    }
  24. Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

    Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida

    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/emnlp/ColomboPBTSAP23,
      author = {Pierre Colombo and Victor Pellegrain and Malik Boudiaf and Myriam Tami and Victor Storchan and Ismail Ben Ayed and Pablo Piantanida},
      title = {{Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models}},
      year = {2023},
      booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
      pages = {4214--4231},
      doi = {10.18653/V1/2023.EMNLP-MAIN.257},
      eprint = {2310.13998},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2023.emnlp-main.257}
    }
  25. TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization.

    Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, Jie Yang

    IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, 2023.

    Article
    BibTeX
    @inproceedings{DBLP:conf/wacv/XuSGNGY23,
      author = {Yifan Xu and Pourya Shamsolmoali and Eric Granger and Claire Nicodeme and Laurent Gardes and Jie Yang},
      title = {{TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization}},
      year = {2023},
      booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023},
      pages = {2839--2848},
      doi = {10.1109/WACV56688.2023.00286},
      url = {https://ieeexplore.ieee.org/document/10030454/}
    }
  26. Understanding metric-related pitfalls in image analysis validation.

    Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

    Prépublication · arXiv, 2023.

    Article arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2302-01790,
      author = {Annika Reinke and Minu Tizabi and Michael Baumgartner and Matthias Eisenmann and Doreen Heckmann-Nötzel and A. Emre Kavur and Tim Rädsch and Carole H. Sudre and Laura Ación and Michela Antonelli and Tal Arbel and Spyridon Bakas and Arriel Benis and Matthew B. Blaschko and Florian Büttner and M. Jorge Cardoso and Veronika Cheplygina and Jianxu Chen and Evangelia Christodoulou and Beth A. Cimini and Gary S. Collins and Keyvan Farahani and Luciana Ferrer and Adrian Galdran and Bram van Ginneken and Ben Glocker and Patrick Godau and Robert Haase and Daniel A. Hashimoto and Michael M. Hoffman and Merel Huisman and Fabian Isensee and Pierre Jannin and Charles E. Kahn and Dagmar Kainmueller and Bernhard Kainz and Alexandros Karargyris and Alan Karthikesalingam and Hannes Kenngott and Jens Kleesiek and Florian Kofler and Thijs Kooi and Annette Kopp-Schneider and Michal Kozubek and Anna Kreshuk and Tahsin M. Kurç and Bennett A. Landman and Geert Litjens and Amin Madani and Klaus H. Maier-Hein and Anne L. Martel and Peter Mattson and Erik Meijering and Bjoern H. Menze and Karel G. M. Moons and Henning Müller and Brennan Nichyporuk and Felix Nickel and Jens Petersen and Susanne M. Rafelski and Nasir M. Rajpoot and Mauricio Reyes and Michael A. Riegler and Nicola Rieke and Julio Saez-Rodriguez and Clara I. Sánchez and Shravya Shetty and Maarten van Smeden and Ronald M. Summers and Abdel A. Taha and Aleksei Tiulpin and Sotirios A. Tsaftaris and Ben Van Calster and Gaël Varoquaux and Manuel Wiesenfarth and Ziv R. Yaniv and Paul F. Jäger and Lena Maier-Hein},
      title = {{Understanding metric-related pitfalls in image analysis validation}},
      year = {2023},
      doi = {10.48550/ARXIV.2302.01790},
      eprint = {2302.01790},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2302.01790}
    }
2022 (21 références)
  1. A Data-Driven Quantization Design for Distributed Testing Against Independence with Communication Constraints.

    Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida

    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022.

    Article
    BibTeX
    @inproceedings{DBLP:conf/icassp/EspinosaSP22,
      author = {Sebastian Espinosa and Jorge F. Silva and Pablo Piantanida},
      title = {{A Data-Driven Quantization Design for Distributed Testing Against Independence with Communication Constraints}},
      year = {2022},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022},
      pages = {5238--5242},
      doi = {10.1109/ICASSP43922.2022.9746197},
      url = {https://ieeexplore.ieee.org/document/9746197/}
    }
  2. A Differential Entropy Estimator for Training Neural Networks.

    Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida

    International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA., 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/icml/PichlerCBKP22,
      author = {Georg Pichler and Pierre Jean A. Colombo and Malik Boudiaf and Günther Koliander and Pablo Piantanida},
      title = {{A Differential Entropy Estimator for Training Neural Networks}},
      year = {2022},
      booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
      pages = {17691--17715},
      eprint = {2202.06618},
      archivePrefix = {arXiv},
      url = {https://proceedings.mlr.press/v162/pichler22a.html}
    }
  3. Beyond Mahalanobis-Based Scores for Textual OOD Detection.

    Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

    Prépublication · arXiv, 2022.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2211-13527,
      author = {Pierre Colombo and Eduardo Dadalto Câmara Gomes and Guillaume Staerman and Nathan Noiry and Pablo Piantanida},
      title = {{Beyond Mahalanobis-Based Scores for Textual OOD Detection}},
      year = {2022},
      doi = {10.48550/ARXIV.2211.13527},
      eprint = {2211.13527},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2211.13527}
    }
  4. Beyond Mahalanobis Distance for Textual OOD Detection.

    Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

    Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022., 2022.

    Article
    BibTeX
    @inproceedings{DBLP:conf/nips/ColomboGSNP22,
      author = {Pierre Colombo and Eduardo Dadalto Câmara Gomes and Guillaume Staerman and Nathan Noiry and Pablo Piantanida},
      title = {{Beyond Mahalanobis Distance for Textual OOD Detection}},
      year = {2022},
      booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
      url = {https://papers.nips.cc/paper_files/paper/2022/hash/70fa5df8e3300dc30bf19bee44a56155-Abstract-Conference.html}
    }
  5. Combination Networks With End-User-Caches: Novel Achievable and Converse Bounds Under Uncoded Cache Placement.

    Kai Wan, Daniela Tuninetti, Mingyue Ji, Pablo Piantanida

    IEEE Trans. Inf. Theory, 2022.

    Article arXiv
    BibTeX
    @article{DBLP:journals/tit/WanTJP22,
      author = {Kai Wan and Daniela Tuninetti and Mingyue Ji and Pablo Piantanida},
      title = {{Combination Networks With End-User-Caches: Novel Achievable and Converse Bounds Under Uncoded Cache Placement}},
      year = {2022},
      journal = {IEEE Trans. Inf. Theory},
      volume = {68},
      number = {2},
      pages = {806--827},
      doi = {10.1109/TIT.2021.3127905},
      eprint = {1701.06884},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/9614152/}
    }
  6. CRC-Based Correction of Multiple Errors Using an Optimized Lookup Table.

    Vivien Boussard, Stéphane Coulombe, François-Xavier Coudoux, Patrick Corlay

    IEEE Access, 2022.

    Article
    BibTeX
    @article{DBLP:journals/access/BoussardCCC22,
      author = {Vivien Boussard and Stéphane Coulombe and François-Xavier Coudoux and Patrick Corlay},
      title = {{CRC-Based Correction of Multiple Errors Using an Optimized Lookup Table}},
      year = {2022},
      journal = {IEEE Access},
      volume = {10},
      pages = {23931--23947},
      doi = {10.1109/ACCESS.2022.3155457},
      url = {https://ieeexplore.ieee.org/document/9723068/}
    }
  7. Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images.

    Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Jocelyn Chanussot

    IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22, 2022, 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/igarss/ShamsolmoaliZ0G22,
      author = {Pourya Shamsolmoali and Masoumeh Zareapoor and Jie Yang and Eric Granger and Jocelyn Chanussot},
      title = {{Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images}},
      year = {2022},
      booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22, 2022},
      pages = {1716--1719},
      doi = {10.1109/IGARSS46834.2022.9884546},
      eprint = {2205.05927},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/9884546/}
    }
  8. Igeood: An Information Geometry Approach to Out-of-Distribution Detection.

    Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida

    The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/iclr/GomesADP22,
      author = {Eduardo Dadalto Câmara Gomes and Florence Alberge and Pierre Duhamel and Pablo Piantanida},
      title = {{Igeood: An Information Geometry Approach to Out-of-Distribution Detection}},
      year = {2022},
      booktitle = {The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022},
      eprint = {2203.07798},
      archivePrefix = {arXiv},
      url = {https://openreview.net/forum?id=mfwdY3U_9ea}
    }
  9. InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation.

    Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida

    Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/aaai/ColomboCP22,
      author = {Pierre Jean A. Colombo and Chloé Clavel and Pablo Piantanida},
      title = {{InfoLM: A New Metric to Evaluate Summarization \& Data2Text Generation}},
      year = {2022},
      booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022},
      pages = {10554--10562},
      doi = {10.1609/AAAI.V36I10.21299},
      eprint = {2112.01589},
      archivePrefix = {arXiv},
      url = {https://ojs.aaai.org/index.php/AAAI/article/view/21299}
    }
  10. Learning Disentangled Textual Representations via Statistical Measures of Similarity.

    Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

    Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/acl/ColomboSNP22,
      author = {Pierre Colombo and Guillaume Staerman and Nathan Noiry and Pablo Piantanida},
      title = {{Learning Disentangled Textual Representations via Statistical Measures of Similarity}},
      year = {2022},
      booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022},
      pages = {2614--2630},
      doi = {10.18653/V1/2022.ACL-LONG.187},
      eprint = {2205.03589},
      archivePrefix = {arXiv},
      url = {https://aclanthology.org/2022.acl-long.187}
    }
  11. Learning to Guide and to be Guided in the Architect-Builder Problem.

    Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher Pal, Pierre-Yves Oudeyer

    The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022.

    Article
    BibTeX
    @inproceedings{DBLP:conf/iclr/BardeKNMPO22,
      author = {Paul Barde and Tristan Karch and Derek Nowrouzezahrai and Clément Moulin-Frier and Christopher Pal and Pierre-Yves Oudeyer},
      title = {{Learning to Guide and to be Guided in the Architect-Builder Problem}},
      year = {2022},
      booktitle = {The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022},
      url = {https://openreview.net/forum?id=swiyAeGzFhQ}
    }
  12. Leveraging Adversarial Examples to Quantify Membership Information Leakage.

    Ganesh Del Grosso, Hamid Jalalzai, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida

    IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/cvpr/GrossoJPPP22,
      author = {Ganesh Del Grosso and Hamid Jalalzai and Georg Pichler and Catuscia Palamidessi and Pablo Piantanida},
      title = {{Leveraging Adversarial Examples to Quantify Membership Information Leakage}},
      year = {2022},
      booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
      pages = {10389--10399},
      doi = {10.1109/CVPR52688.2022.01015},
      eprint = {2203.09566},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/9880345/}
    }
  13. Metrics reloaded: Pitfalls and recommendations for image analysis validation.

    Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger

    Prépublication · arXiv, 2022.

    Article arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2206-01653,
      author = {Lena Maier-Hein and Annika Reinke and Evangelia Christodoulou and Ben Glocker and Patrick Godau and Fabian Isensee and Jens Kleesiek and Michal Kozubek and Mauricio Reyes and Michael A. Riegler and Manuel Wiesenfarth and Michael Baumgartner and Matthias Eisenmann and Doreen Heckmann-Nötzel and A. Emre Kavur and Tim Rädsch and Minu Dietlinde Tizabi and Laura Ación and Michela Antonelli and Tal Arbel and Spyridon Bakas and Peter Bankhead and Arriel Benis and M. Jorge Cardoso and Veronika Cheplygina and Beth A. Cimini and Gary S. Collins and Keyvan Farahani and Bram van Ginneken and Daniel A. Hashimoto and Michael M. Hoffman and Merel Huisman and Pierre Jannin and Charles E. Kahn and Alexandros Karargyris and Alan Karthikesalingam and Hannes Kenngott and Annette Kopp-Schneider and Anna Kreshuk and Tahsin M. Kurç and Bennett A. Landman and Geert Litjens and Amin Madani and Klaus H. Maier-Hein and Anne L. Martel and Peter Mattson and Erik Meijering and Bjoern H. Menze and David Moher and Karel G. M. Moons and Henning Müller and Felix Nickel and Brennan Nichyporuk and Jens Petersen and Nasir M. Rajpoot and Nicola Rieke and Julio Saez-Rodriguez and Clarisa Sánchez Gutiérrez and Shravya Shetty and Maarten van Smeden and Carole H. Sudre and Ronald M. Summers and Abdel A. Taha and Sotirios A. Tsaftaris and Ben Van Calster and Gaël Varoquaux and Paul F. Jäger},
      title = {{Metrics reloaded: Pitfalls and recommendations for image analysis validation}},
      year = {2022},
      doi = {10.48550/ARXIV.2206.01653},
      eprint = {2206.01653},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2206.01653}
    }
  14. Model-Agnostic Few-Shot Open-Set Recognition.

    Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed

    Prépublication · arXiv, 2022.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2206-09236,
      author = {Malik Boudiaf and Etienne Bennequin and Myriam Tami and Céline Hudelot and Antoine Toubhans and Pablo Piantanida and Ismail Ben Ayed},
      title = {{Model-Agnostic Few-Shot Open-Set Recognition}},
      year = {2022},
      doi = {10.48550/ARXIV.2206.09236},
      eprint = {2206.09236},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2206.09236}
    }
  15. On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints.

    Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia

    Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/aaai/PinzonPPV22,
      author = {Carlos Pinzón and Catuscia Palamidessi and Pablo Piantanida and Frank Valencia},
      title = {{On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints}},
      year = {2022},
      booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022},
      pages = {7993--8000},
      doi = {10.1609/AAAI.V36I7.20770},
      eprint = {2107.06944},
      archivePrefix = {arXiv},
      url = {https://ojs.aaai.org/index.php/AAAI/article/view/20770}
    }
  16. On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation.

    Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz

    Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/miccai/WaerebekeLD22,
      author = {Martin Van Waerebeke and Gregory A. Lodygensky and Jose Dolz},
      title = {{On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation}},
      year = {2022},
      booktitle = {Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings},
      pages = {36--46},
      doi = {10.1007/978-3-031-16749-2_4},
      eprint = {2203.03587},
      archivePrefix = {arXiv},
      url = {https://link.springer.com/10.1007/978-3-031-16749-2_4}
    }
  17. Privacy-Cost Management in Smart Meters With Mutual-Information-Based Reinforcement Learning.

    Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau

    IEEE Internet Things J., 2022.

    Article arXiv
    BibTeX
    @article{DBLP:journals/iotj/ShateriMPL22,
      author = {Mohammadhadi Shateri and Francisco Messina and Pablo Piantanida and Fabrice Labeau},
      title = {{Privacy-Cost Management in Smart Meters With Mutual-Information-Based Reinforcement Learning}},
      year = {2022},
      journal = {IEEE Internet Things J.},
      volume = {9},
      number = {22},
      pages = {22389--22398},
      doi = {10.1109/JIOT.2021.3128488},
      eprint = {2006.06106},
      archivePrefix = {arXiv},
      url = {https://ieeexplore.ieee.org/document/9615382/}
    }
  18. Realistic Evaluation of Transductive Few-Shot Learning.

    Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed

    Prépublication · arXiv, 2022.

    Article arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2204-11181,
      author = {Olivier Veilleux and Malik Boudiaf and Pablo Piantanida and Ismail Ben Ayed},
      title = {{Realistic Evaluation of Transductive Few-Shot Learning}},
      year = {2022},
      doi = {10.48550/ARXIV.2204.11181},
      eprint = {2204.11181},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2204.11181}
    }
  19. Robust Autoencoder-based State Estimation in Power Systems.

    Marine Picot, Francisco Javier Messina, Fabrice Labeau, Pablo Piantanida

    2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, New Orleans, LA, USA, April 24-28, 2022, 2022.

    Article
    BibTeX
    @inproceedings{DBLP:conf/isgt/PicotMLP22,
      author = {Marine Picot and Francisco Javier Messina and Fabrice Labeau and Pablo Piantanida},
      title = {{Robust Autoencoder-based State Estimation in Power Systems}},
      year = {2022},
      booktitle = {2022 IEEE Power \& Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, New Orleans, LA, USA, April 24-28, 2022},
      pages = {1--5},
      doi = {10.1109/ISGT50606.2022.9817514},
      url = {https://ieeexplore.ieee.org/document/9817514/}
    }
  20. Spectral image clustering on dual-energy CT scans using functional regression mixtures.

    Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev

    Prépublication · arXiv, 2022.

    arXiv
    BibTeX
    @misc{DBLP:journals/corr/abs-2201-13398,
      author = {Segolene Brivet and Faicel Chamroukhi and Mark Coates and Reza Forghani and Peter Savadjiev},
      title = {{Spectral image clustering on dual-energy CT scans using functional regression mixtures}},
      year = {2022},
      doi = {10.48550/ARXIV.2201.13398},
      eprint = {2201.13398},
      archivePrefix = {arXiv},
      url = {https://arxiv.org/abs/2201.13398}
    }
  21. Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.

    Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed

    Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022., 2022.

    Article arXiv
    BibTeX
    @inproceedings{DBLP:conf/nips/MartinBCPA22,
      author = {Ségolène Martin and Malik Boudiaf and Emilie Chouzenoux and Jean-Christophe Pesquet and Ismail Ben Ayed},
      title = {{Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference}},
      year = {2022},
      booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
      eprint = {2210.14545},
      archivePrefix = {arXiv},
      url = {https://papers.nips.cc/paper_files/paper/2022/hash/dff528ce3e1390c88f10bbf5e722a241-Abstract-Conference.html}
    }