Yann Chevaleyre

Publications

Communication dans un congrès (43)

Memorization in Attention-only Transformers Léo Dana,Muni Sreenivas Pydi,Yann Chevaleyre International Conference on Artificial Intelligence and Statistics, May 2025, Mai Khao, Thailand. pp.3133--3141 Communication dans un congrès hal-05427727v1
Improving Discriminator Guidance in Diffusion Models Alexandre Vérine,Inane Ahmed Mehdi,Florian Le Bronnec,Benjamin Negrevergne,Yann Chevaleyre European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto, Portugal Communication dans un congrès hal-05416219v1
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory Lucas Gnecco Heredia,Matteo Sammut,Muni Pydi,Rafaël Pinot,Benjamin Negrevergneet al. AIStats, May 2025, Phuket, Thailand Communication dans un congrès hal-05071096v2
Improving Discriminator Guidance in Diffusion Models Alexandre Verine,Ahmed Mehdi Inane,Florian Le Bronnec,Benjamin Negrevergne,Yann Chevaleyre Machine Learning and Knowledge Discovery in Databases. Research Track., ECML PKDD 2025, 2025, Porto, Portugal. pp.222-238, ⟨10.1007/978-3-032-05981-9_14⟩ Communication dans un congrès hal-05421380v1
Improving Diversity in Language Models: When Temperature Fails, Change the Loss Alexandre Verine,Florian Le Bronnec,Kunhao Zheng,Alexandre Allauzen,Yann Chevaleyreet al. Forty-second International Conference on Machine Learning, ICML, Jul 2025, Vancouver, Canada. pp.61266-61300 Communication dans un congrès hal-05570818v1
Exploring Precision and Recall to assess the quality and diversity of LLMs Florian Le Bronnec,Alexandre Vérine,Benjamin Negrevergne,Yann Chevaleyre,Alexandre Allauzen 62nd Annual Meeting of the Association for Computational Linguistics, Aug 2024, Bangkok, Thailand Communication dans un congrès hal-04584210v1
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality Ikko Yamane,Yann Chevaleyre,Takashi Ishida,Florian Yger Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2023, Valencia, Spain Communication dans un congrès hal-04218995v1
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Vérine,Benjamin Negrevergne,Muni Sreenivas Pydi,Yann Chevaleyre Advances in Neural Information Processing Systems, Dec 2023, Nouvelle Orléans (LA), United States Communication dans un congrès hal-04480496v1
On the Role of Randomization in Adversarially Robust Classification Lucas Gnecco Heredia,Yann Chevaleyre,Benjamin Negrevergne,Laurent Meunier,Muni Sreenivas Pydi Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, Dec 2023, New Orleans (LA), United States Communication dans un congrès hal-04312028v1
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante Alexis Duburcq,Fabian Schramm,Guilhem Boéris,Nicolas Bredeche,Yann Chevaleyre 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2022, Kyoto, Japan. pp.9302-9309, ⟨10.1109/IROS47612.2022.9982234⟩ Communication dans un congrès hal-04155863v1
On the expressivity of bi-Lipschitz normalizing flows Alexandre Vérine,Benjamin Negrevergne,Fabrice Rossi,Yann Chevaleyre ACML 2022 - 14th Asian Conference on Machine Learning,, Dec 2022, Hyderabad, India Communication dans un congrès hal-03906979v1
Towards Consistency in Adversarial Classification Laurent Meunier,Raphael Ettedgui,Rafaël Pinot,Yann Chevaleyre,Jamal Atif 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Nov 2022, Virtual conference, United States Communication dans un congrès hal-04014745v1
An alpha-No-Regret Algorithm For Graphical Bilinear Bandits Geovani Rizk,Igor Colin,Albert Thomas,Rida Laraki,Yann Chevaleyre 36th Conference on Neural Information Processing Systems (NeurIPS 2022)., Nov 2022, New Orleans, United States Communication dans un congrès hal-04303702v1
Best Arm Identification in Graphical Bilinear Bandits Geovani Rizk,Thomas Albert,Igor Colin,Rida Laraki,Yann Chevaleyre ICML 2021 - Proceedings of the 38th International Conference on Machine Learning, Jul 2021, Pittsburgh, United States. pp.9010-9019 Communication dans un congrès hal-03413102v1
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory Alexandre Araujo,Benjamin Negrevergne,Yann Chevaleyre,Jamal Atif 35th AAAI Conference on Artificial Intelligence, Feb 2021, vancouver, Canada Communication dans un congrès hal-03107420v1
Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier,Meyer Scetbon,Rafaël Pinot,Jamal Atif,Yann Chevaleyre International Conference on Machine Learning (ICML), Aug 2021, paris, France Communication dans un congrès hal-03916826v1
Asymptotic convergence rates for averaging strategies Laurent Meunier,Iskander Legheraba,Yann Chevaleyre,Olivier Teytaud FOGA '21: Foundations of Genetic Algorithms XVI, Jul 2021, Virtual Event Austria, France. pp.1-11, ⟨10.1145/3450218.3477302⟩ Communication dans un congrès hal-03916845v1
Learning Interpretable Models using Soft Integrity Constraints Khaled Belahcene,Nataliya Sokolovska,Yann Chevaleyre,Jean-Daniel Zucker 12th Asian Conference on Machine Learning (ACML 2020), Nov 2020, Bangkok, Thailand. pp.529-544 Communication dans un congrès hal-02944833v1
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante Alexis Duburcq,Yann Chevaleyre,Nicolas Bredeche,Guilhem Boéris ICRA 2020- International Conference on Robotics and Automation, 2020, Paris (virtual), France. ⟨10.1109/ICRA40945.2020.9196633⟩ Communication dans un congrès hal-03175242v1
Randomization matters – How to defend against strong adversarial attacks Rafael Pinot,Raphael Ettedgui,Geovani Rizk,Yann Chevaleyre,Jamal Atif Thirty-seventh International Conference on Machine Learning, Jul 2020, Vienna, Austria. pp.7717-7727 Communication dans un congrès hal-02892161v1
Understanding and Training Deep Diagonal Circulant Neural Networks Alexandre Araujo,Benjamin Negrevergne,Yann Chevaleyre,Jamal Atif 24th European Conference on Artificial Intelligence (ECAI), Jul 2020, Santiago, Spain Communication dans un congrès hal-03916848v1
Interpretable Cascade Classifiers with Abstention Matthieu Clertant,Nataliya Sokolovska,Yann Chevaleyre,Blaise Hanczar 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Apr 2019, Naha, Japan Communication dans un congrès hal-02006252v1
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices Alexandre Araújo,Benjamin Negrevergne,Yann Chevaleyre,Jamal Atif 15th European Conference on Computer Vision (ECCV 2018), Sep 2018, Munich, Germany. pp.271-286, ⟨10.1007/978-3-030-11018-5⟩ Communication dans un congrès hal-02170706v1
Local Envy-Freeness in House Allocation Problems Aurélie Beynier,Yann Chevaleyre,Laurent Gourvès,Julien Lesca,Nicolas Maudetet al. 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Jul 2018, Stockholm, Sweden Communication dans un congrès hal-01785231v1
A Provable Algorithm for Learning Interpretable Scoring Systems Nataliya Sokolovska,Yann Chevaleyre,Jean-Daniel Zucker Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2018, lanzarote, Spain Communication dans un congrès hal-03916854v1
Disease Classification in Metagenomics with 2D Embeddings and Deep Learning Thanh Hai Nguyen,Edi Prifti,Yann Chevaleyre,Nataliya Sokolovska,Jean-Daniel Zucker La Conférence sur l'Apprentissage automatique (CAp), Jun 2018, Rouen, France Communication dans un congrès hal-01819205v1
Accountable Approval Sorting Khaled Belahcene,Yann Chevaleyre,Nicolas Maudet,Christophe Labreuche,Vincent Mousseauet al. 27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Jul 2018, Stockholm, Sweden Communication dans un congrès hal-01785011v1
Voting by Sequential Elimination with few Voters Sylvain Bouveret,Yann Chevaleyre,François Durand,Jérôme Lang 26th International Joint Conference on Artificial Intelligence, Aug 2017, Melbourne, Australia. ⟨10.24963/ijcai.2017/19⟩ Communication dans un congrès hal-01609246v1
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks Nguyen Thanh Hai,Yann Chevaleyre,Edi Prifti,Nataliya Sokolovska,Jean-Daniel Zucker NIPS 2017 Workshop on Machine Learning for Health, Dec 2017, Long Beach, CA, United States Communication dans un congrès hal-01783588v1
Advantage Based Value Iteration for Markov Decision Processes with Unknown Rewards Pegah Alizadeh,Yann Chevaleyre,François Lévy International Joint Conference on Neural Networks (IJCNN 2016), Jul 2016, Vancouver, Canada Communication dans un congrès hal-01358345v1
The Power of Swap Deals in Distributed Resource Allocation Anastasia Damamme,Aurélie Beynier,Yann Chevaleyre,Nicolas Maudet The 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), May 2015, Istanbul, Turkey. pp.625-633 Communication dans un congrès hal-01212603v1
Apprentissage Online de Modèles d'Ising Parcimonieux Yann Chevaleyre,Frédéric Koriche 16ème Conférence sur l'Apprentissage Automatique (CAP'14), 2014, Saint-Etienne, Région indéterminée Communication dans un congrès hal-03300758v1
Learning linear classifiers with ternary weights from Metagenomic Data Yann Chevaleyre,Frédéric Koriche,Jean-Daniel Zucker Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p Communication dans un congrès hal-00745449v1
Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in case of a Tsunami Thi Ngoc Anh Nguyen,Yann Chevaleyre,Jean-Daniel Zucker Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on, Jun 2012, Toulouse, France. pp.394 - 396 Communication dans un congrès hal-00929863v1
The Robot Swarm Re-localization Problem Nicolas Bredeche,Yann Chevaleyre 5th IEEE International Conference on Robotics and Biomimetics (ROBIO 2008), 2008, Bangkok, Thailand Communication dans un congrès inria-00336690v1
Recent advances on multi-agent patrolling Alessandro de Luna Almeida,Geber Ramalho,Hugo Santana,Patricia Tedesco,Talita Menezeset al. 17th Brazilian Symposium on Artificial Intelligence, Sep 2004, São Luís, Brazil. pp.474-483, ⟨10.1007/978-3-540-28645-5_48⟩ Communication dans un congrès istex hal-01499300v1
Physically grounding the lexical semantics of words in a robot visual perception Nicolas Bredèche,Yann Chevaleyre AROB 2002 - 7th International Symposium on Artificial Life and Robotics for Information Technology, Jan 2002, Oita, Japan Communication dans un congrès hal-01561434v1
Wrapper for Object Detection in an Autonomous Mobile Robot Nicolas Bredèche,Yann Chevaleyre,Louis Hugues ICPR 2002 - 16th International Conference on Pattern Recognition, Aug 2002, Quebec City, Canada. pp.749-752, ⟨10.1109/ICPR.2002.1048411⟩ Communication dans un congrès hal-01561431v1
A Wrapper-based Approach to Robot Learning Concepts from Images. Nicolas Bredèche,Jean-Daniel Zucker,Yann Chevaleyre PRICAI 2002 - 7th Pacific Rim International Conference on Artificial Intelligence, Aug 2002, Tokyo, Japan. pp.616-616, ⟨10.1007/3-540-45683-X_85⟩ Communication dans un congrès istex hal-01561436v1
Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem Yann Chevaleyre,Jean-Daniel Zucker Canadian Conference on AI 2001, Jun 2001, Ottawa, Canada. pp.204-214, ⟨10.1007/3-540-45153-6_20⟩ Communication dans un congrès istex hal-01571852v1
Algorithmes pour l'Apprentissage de Règles a partir de Données Multi-Instances Yann Chevaleyre,Jean-Daniel Zucker Conférence Apprentissage, 2001, Grenoble, France Communication dans un congrès hal-01571855v1
A framework for learning Multiple-Instance Decision Trees and Rule Sets Yann Chevaleyre,Jean-Daniel Zucker European Conference on Machine Learning, Sep 2001, Freiburg, Germany. pp.49-60, ⟨10.1007/3-540-44795-4_5⟩ Communication dans un congrès istex hal-01571854v1
Noise-Tolerant Rule Induction from Multi-Instance Data Yann Chevaleyre,Jean-Daniel Zucker ICML 2000 Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, Jun 2000, Stanford, United States. pp.47-52 Communication dans un congrès hal-01573408v1

Pré-publication, Document de travail (9)

Improving Diversity in Language Models: When Temperature Fails, Change the Loss Alexandre Verine,Florian Le Bronnec,Kunhao Zheng,Alexandre Allauzen,Yann Chevaleyreet al. 2025 Pré-publication, Document de travail hal-05413727v1
Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier,Meyer Scetbon,Rafael Pinot,Jamal Atif,Yann Chevaleyre 2021 Pré-publication, Document de travail hal-03345014v1
Asymptotic convergence rates for averaging strategies Laurent Meunier,Iskander Legheraba,Yann Chevaleyre,Olivier Teytaud 2021 Pré-publication, Document de travail hal-03345019v1
Learning Interpretable Models using Soft Integrity Constraints Khaled Belahcene,Nataliya Sokolovska,Yann Chevaleyre,Jean-Daniel Zucker 2019 Pré-publication, Document de travail hal-02360875v1
On the Expressive Power of Deep Fully Circulant Neural Networks Alexandre Araujo,Benjamin Negrevergne,Yann Chevaleyre,Jamal Atif 2019 Pré-publication, Document de travail hal-02078318v1
Règles Naturelles Optimales pour l'Argumentation Yann Chevaleyre,Nicolas Maudet 2007 Pré-publication, Document de travail hal-00192314v1
Restricted Classes of Utility Functions for Simple Negotiation Schemes: Sufficiency, Necessity, and Maximality Yann Chevaleyre,Ulle Endriss,Nicolas Maudet 2006 Pré-publication, Document de travail hal-00116629v1
Le problème multi-agents de la patrouille Yann Chevaleyre 2006 Pré-publication, Document de travail hal-00115783v1
Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modelling Yann Chevaleyre,Ulle Endriss,Jérôme Lang 2006 Pré-publication, Document de travail hal-00119309v1

Article dans une revue (8)

On the robustness of randomized classifiers to adversarial examples Rafael Pinot,Laurent Meunier,Florian Yger,Cédric Gouy-Pailler,Yann Chevaleyreet al. Machine Learning, 2022, 111 (9), pp.3425-3457. ⟨10.1007/s10994-022-06216-6⟩ Article dans une revue hal-03916842v1
Interpretable and accurate prediction models for metagenomics data Edi Prifti,Yann Chevaleyre,Blaise Hanczar,Eugeni Belda,Antoine Danchinet al. GigaScience, 2020, 9 (3), ⟨10.1093/gigascience/giaa010⟩ Article dans une revue hal-02520519v1
Local Envy-Freeness in House Allocation Problems Aurélie Beynier,Yann Chevaleyre,Laurent Gourvès,Ararat Harutyunyan,Julien Lescaet al. Autonomous Agents and Multi-Agent Systems, 2019, 33 (5), pp.591-627. ⟨10.1007/s10458-019-09417-x⟩ Article dans une revue hal-02156844v1
Training compact deep learning models for video classification using circulant matrices Alexandre Araujo,Benjamin Negrevergne,Yann Chevaleyre,Jamal Atif European Conference on Computer Vision, 2018, pp.271-286. ⟨10.1007/978-3-030-11018-5_25⟩ Article dans une revue hal-02010093v1
Distributed Fair Allocation of Indivisible Goods Yann Chevaleyre,Ulle Endriss,Nicolas Maudet Artificial Intelligence (AIJ), 2017, 242, pp.1--22. ⟨10.1016/j.artint.2016.09.005⟩ Article dans une revue hal-01359645v1
The niche reduction approach: an opportunity for optimal control of infectious diseases in low-income countries? Benjamin Roche,Hélène Broutin,Marc Choisy,Sylvain Godreuil,Guillaume Constantin de Magnyet al. BMC Public Health, 2014, 14 (1), pp.753. ⟨10.1186/1471-2458-14-753⟩ Article dans une revue pasteur-01053863v1
New candidates welcome! Possible winners with respect to the addition of new candidates Yann Chevaleyre,Jérôme Lang,Nicolas Maudet,Jérôme Monnot,Lirong Xia Mathematical Social Sciences, 2012, 64 (1), pp.74-88. ⟨10.1016/j.mathsocsci.2011.12.003⟩ Article dans une revue hal-01199286v1
A meta-learning approach to anchor visual percepts Nicolas Bredèche,Yann Chevaleyre,Jean-Daniel Zucker,Alexis Drogoul,Gérard Sabah Robotics and Autonomous Systems, 2003, 43 (2-3), pp.149-162. ⟨10.1016/S0921-8890(02)00356-1⟩ Article dans une revue istex hal-01176922v1

Chapitre d'ouvrage (5)

On Averaging the Best Samples in Evolutionary Computation Laurent Meunier,Yann Chevaleyre,Jeremy Rapin,Clément Royer,Olivier Teytaud Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020, pp.661-674, 2020, ⟨10.1007/978-3-030-58115-2_46⟩ Chapitre d'ouvrage hal-03135540v1
Fair Division of Indivisible Goods Sylvain Bouveret,Yann Chevaleyre,Nicolas Maudet Felix Brandt; Vincent Conitzer; Ulle Endriss; Jérôme Lang; Ariel D. Procaccia. Handbook of Computational Social Choice, Cambridge University Press, 2016, 9781316490631 Chapitre d'ouvrage hal-01527121v1
Systèmes multi-agents: négociation, persuasion Leila Amgoud,Yann Chevaleyre,Nicolas Maudet Pierre Marquis; Odile Papini; Henri Prade. Panorama de l'Intelligence Artificielle (3 vol.), 1 (Chapter 17), Cépaduès, Toulouse, pp.273--296, 2014, Représentation des connaissances et formalisation des raisonnements, 978-2364930414 Chapitre d'ouvrage hal-01528819v1
Speeding up the evaluation of casualties in multi-agent simulations with linear programming application to optimization of sign placement for tsunami evacuation V.M. Le,Y. Chevaleyre,Jean-Daniel Zucker,H.T. Vinh The 2013 RIVF International Conference on Computing and Communication Technologies - Research, Innovation, and Vision for Future (RIVF) : proceedings, IEEE, p. 215-220, 2013, 978-1-4799-1349-7. ⟨10.1109/RIVF.2013.6719896⟩ Chapitre d'ouvrage hal-02955309v1
Learning Ordinal Preferences on Multiattribute Domains: the Case of CP-nets Yann Chevaleyre,Frédéric Koriche,Jérôme Lang,Jérôme Mengin,Bruno Zanuttini Johannes Fürnkranz; Eyke Hüllermeier. Preference Learning, Springer, pp.273-296, 2010, ⟨10.1007/978-3-642-14125-6_13⟩ Chapitre d'ouvrage hal-00944354v1

Rapport (2)

Rounding Methods for Discrete Linear Classification (Extended Version) Yann Chevaleyre,Frederic Koriche,Jean-Daniel Zucker 2013 Rapport hal-00771012v2
Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem Jean-Daniel Zucker,Yann Chevaleyre [Research Report] lip6.2000.018, LIP6. 2000 Rapport (rapport de recherche) hal-02545010v1

Ouvrages (1)

Multiagent Resource Allocation with K -additive Utility Functions Yann Chevaleyre,Ulle Endriss,Sylvia Estivie,Nicolas Maudet pp.18, 2004 Ouvrages hal-00018263v1