Yann Chevaleyre

115 papers A* 18A 16B 4C 4Misc 1Journal 43Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MetagenBERT: a Transformer-based Architecture using Foundational genomic Large Language Models for novel Metagenome Representation. CoRR Gaspar Roy, Eugeni Belda, Baptiste Hennecart, Yann Chevaleyre, Edi Prifti, Jean-Daniel Zucker
2025	—	`conf`	Improving Discriminator Guidance in Diffusion Models. ECML/PKDD (2) Alexandre Verine, Mehdi Inane, Florian Le Bronnec, Benjamin Négrevergne, Yann Chevaleyre
2025	J	`jnl`	Improving Discriminator Guidance in Diffusion Models. CoRR Alexandre Verine, Mehdi Inane, Florian Le Bronnec, Benjamin Négrevergne, Yann Chevaleyre
2025	A*	`conf`	Improving Diversity in Language Models: When Temperature Fails, Change the Loss. ICML Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Négrevergne
2025	J	`jnl`	Improving Diversity in Language Models: When Temperature Fails, Change the Loss. CoRR Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Négrevergne
2025	—	`conf`	Lattice Climber Attack: Adversarial Attacks for Randomized Mixtures of Classifiers. ECML/PKDD (7) Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
2025	J	`jnl`	Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers. CoRR Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
2025	A	`conf`	Memorization in Attention-only Transformers. AISTATS Léo Dana, Muni Sreenivas Pydi, Yann Chevaleyre
2025	A	`conf`	Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory. AISTATS Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Négrevergne, Yann Chevaleyre
2025	J	`jnl`	Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory. CoRR Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Négrevergne, Yann Chevaleyre
2024	—	`conf`	Exploring Precision and Recall to assess the quality and diversity of LLMs. ACL (1) Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen
2024	J	`jnl`	Exploring Precision and Recall to assess the quality and diversity of LLMs. CoRR Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen
2024	J	`jnl`	Memorization in Attention-only Transformers. CoRR Léo Dana, Muni Sreenivas Pydi, Yann Chevaleyre
2024	A	`conf`	Optimal Budgeted Rejection Sampling for Generative Models. AISTATS Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
2023	J	`jnl`	Adversarial attacks for mixtures of classifiers. CoRR Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
2023	A	`conf`	Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. AISTATS Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger
2023	A*	`conf`	On the Role of Randomization in Adversarially Robust Classification. NeurIPS Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre
2023	J	`jnl`	Optimal Budgeted Rejection Sampling for Generative Models. CoRR Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
2023	A*	`conf`	Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. NeurIPS Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
2023	J	`jnl`	Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. CoRR Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
2023	J	`jnl`	Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier
2023	J	`jnl`	Training Normalizing Flows with the Precision-Recall Divergence. CoRR Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
2022	A*	`conf`	An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. NeurIPS Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
2022	J	`jnl`	An α-No-Regret Algorithm For Graphical Bilinear Bandits. CoRR Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
2022	C	`conf`	On the expressivity of bi-Lipschitz normalizing flows. ACML Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi
2022	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. Mach. Learn. Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2022	A	`conf`	Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. IROS Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredèche, Yann Chevaleyre
2022	J	`jnl`	Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. CoRR Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredèche, Yann Chevaleyre
2022	A*	`conf`	Towards Consistency in Adversarial Classification. NeurIPS Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
2022	J	`jnl`	Towards Consistency in Adversarial Classification. CoRR Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
2022	J	`jnl`	Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. CoRR Raphael Ettedgui, Alexandre Araujo, Rafael Pinot, Yann Chevaleyre, Jamal Atif
2021	A	`conf`	Asymptotic convergence rates for averaging strategies. FOGA Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
2021	J	`jnl`	Asymptotic convergence rates for averaging strategies. CoRR Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
2021	A*	`conf`	Best Arm Identification in Graphical Bilinear Bandits. ICML Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
2021	A*	`conf`	Mixed Nash Equilibria in the Adversarial Examples Game. ICML Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
2021	J	`jnl`	Mixed Nash Equilibria in the Adversarial Examples Game. CoRR Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
2021	A*	`conf`	On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2021	J	`jnl`	On the expressivity of bi-Lipschitz normalizing flows. CoRR Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre
2021	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. CoRR Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2020	J	`jnl`	Best Arm Identification in Graphical Bilinear Bandits. CoRR Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
2020	J	`jnl`	Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. CoRR Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2020	C	`conf`	Learning Interpretable Models using Soft Integrity Constraints. ACML Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
2020	—	`ch.`	Negotiation and Persuasion Among Agents. A Guided Tour of Artificial Intelligence Research (1) (I) Leila Amgoud, Yann Chevaleyre, Nicolas Maudet
2020	—	`conf`	On Averaging the Best Samples in Evolutionary Computation. PPSN (2) Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	A*	`conf`	Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. ICRA Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris
2020	J	`jnl`	Proving μ>1. CoRR Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	A*	`conf`	Randomization matters How to defend against strong adversarial attacks. ICML Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif
2020	J	`jnl`	Randomization matters. How to defend against strong adversarial attacks. CoRR Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif
2020	A	`conf`	Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2019	A	`conf`	Interpretable Cascade Classifiers with Abstention. AISTATS Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar
2019	J	`jnl`	Local envy-freeness in house allocation problems. Auton. Agents Multi Agent Syst. Aurélie Beynier, Yann Chevaleyre, Laurent Gourvès, Ararat Harutyunyan, Julien Lesca, Nicolas Maudet, Anaëlle Wilczynski
2019	J	`jnl`	On the Expressive Power of Deep Fully Circulant Neural Networks. CoRR Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2019	J	`jnl`	Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. CoRR Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris
2019	J	`jnl`	Robust Neural Networks using Randomized Adversarial Training. CoRR Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
2018	A	`conf`	A Provable Algorithm for Learning Interpretable Scoring Systems. AISTATS Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
2018	A*	`conf`	Accountable Approval Sorting. IJCAI Khaled Belahcène, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane
2018	J	`jnl`	Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. CoRR Thanh Hai Nguyen, Edi Prifti, Yann Chevaleyre, Nataliya Sokolovska, Jean-Daniel Zucker
2018	A	`conf`	Local Envy-Freeness in House Allocation Problems. AAMAS Aurélie Beynier, Yann Chevaleyre, Laurent Gourvès, Julien Lesca, Nicolas Maudet, Anaëlle Wilczynski
2018	—	`conf`	Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization. MLDM (1) Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
2018	—	`conf`	Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. ECCV Workshops (4) Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2018	J	`jnl`	Training compact deep learning models for video classification using circulant matrices. CoRR Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2017	J	`jnl`	Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks. CoRR Thanh Hai Nguyen, Yann Chevaleyre, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker
2017	J	`jnl`	Distributed fair allocation of indivisible goods. Artif. Intell. Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2017	B	`conf`	The fused lasso penalty for learning interpretable medical scoring systems. IJCNN Nataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker
2017	A*	`conf`	Voting by sequential elimination with few voters. IJCAI Sylvain Bouveret, Yann Chevaleyre, François Durand, Jérôme Lang
2016	B	`conf`	Advantage based value iteration for Markov decision processes with unknown rewards. IJCNN Pegah Alizadeh, Yann Chevaleyre, François Lévy
2016	—	`ch.`	Fair Allocation of Indivisible Goods. Handbook of Computational Social Choice Sylvain Bouveret, Yann Chevaleyre, Nicolas Maudet
2016	—	`conf`	Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions. STAIRS Pegah Alizadeh, Yann Chevaleyre, François Lévy
2015	—	`conf`	Approximate regret based elicitation in Markov decision process. RIVF Pegah Alizadeh, Yann Chevaleyre, Jean-Daniel Zucker
2015	—	`conf`	Experimental analysis of new algorithms for learning ternary classifiers. RIVF Jean-Daniel Zucker, Yann Chevaleyre, Dao Van Sang
2015	—	`conf`	Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation. RIVF Van-Minh Le, Yann Chevaleyre, Hô Tuòng Vinh, Jean-Daniel Zucker
2015	A	`conf`	The Power of Swap Deals in Distributed Resource Allocation. AAMAS Anastasia Damamme, Aurélie Beynier, Yann Chevaleyre, Nicolas Maudet
2014	—	`conf`	Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami. ISCRAM-med Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Tuong-Vinh Ho
2013	—	`conf`	Rounding Methods for Discrete Linear Classification. ICML (1) Yann Chevaleyre, Frédéric Koriche, Jean-Daniel Zucker
2013	—	`conf`	Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation. RIVF Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh
2012	—	`conf`	Adaptive Probabilistic Policy Reuse. ICONIP (3) Yann Chevaleyre, Aydano Machado Pamponet
2012	J	`jnl`	New candidates welcome! Possible winners with respect to the addition of new candidates. Math. Soc. Sci. Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot, Lirong Xia
2012	C	`conf`	Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami. WETICE Thi Anh Ngoc Nguyen, Yann Chevaleyre, Jean-Daniel Zucker
2011	B	`conf`	Compilation and communication protocols for voting rules with a dynamic set of candidates. TARK Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot
2011	J	`jnl`	New Candidates Welcome! Possible Winners with respect to the Addition of New Candidates CoRR Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot, Lirong Xia
2010	—	`ch.`	Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. Preference Learning Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, Bruno Zanuttini
2010	A	`conf`	Learning conditionally lexicographic preference relations. ECAI Richard Booth, Yann Chevaleyre, Jérôme Lang, Jérôme Mengin, Chattrakul Sombattheera
2010	A*	`conf`	Possible Winners when New Candidates Are Added: The Case of Scoring Rules. AAAI Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot
2010	J	`jnl`	Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality. Auton. Agents Multi Agent Syst. Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2009	A*	`conf`	Compiling the Votes of a Subelectorate. IJCAI Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Guillaume Ravilly-Abadie
2009	J	`jnl`	Representing Utility Functions via Weighted Goals. Math. Log. Q. Joel Uckelman, Yann Chevaleyre, Ulle Endriss, Jérôme Lang
2008	C	`conf`	Experiments with Adaptive Transfer Rate in Reinforcement Learning. PKAW Yann Chevaleyre, Aydano Machado, Jean-Daniel Zucker
2008	J	`jnl`	Multiagent resource allocation in Ann. Oper. Res. Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet
2008	J	`jnl`	Preference Handling in Combinatorial Domains: From AI to Social Choice. AI Mag. Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet
2008	J	`jnl`	The complexity of deciding reachability properties of distributed negotiation schemes. Theor. Comput. Sci. Paul E. Dunne, Yann Chevaleyre
2008	—	`conf`	The robot swarm re-localization problem. ROBIO Nicolas Bredèche, Yann Chevaleyre
2008	—	`conf`	Trajectories of goods in distributed allocation. AAMAS (2) Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2007	—	`conf`	A Short Introduction to Computational Social Choice. SOFSEM (1) Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet
2007	A*	`conf`	Allocating Goods on a Graph to Eliminate Envy. AAAI Yann Chevaleyre, Ulrich Endriss, Nicolas Maudet
2007	A*	`conf`	Reaching Envy-Free States in Distributed Negotiation Settings. IJCAI Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet
2006	A*	`conf`	Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling. KR Yann Chevaleyre, Ulle Endriss, Jérôme Lang
2006	A	`conf`	How equitable is rational negotiation? AAMAS Sylvia Estivie, Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2006	J	`jnl`	Issues in Multiagent Resource Allocation. Informatica (Slovenia) Yann Chevaleyre, Paul E. Dunne, Ulle Endriss, Jérôme Lang, Michel Lemaître, Nicolas Maudet, Julian A. Padget, Steve Phelps, Juan A. Rodríguez-Aguilar, Paulo Sousa
2006	—	`ch.`	Some Recent Results and Open Questions in Distributed Resource Allocation. Decision Theory and Multi-Agent Planning Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2006	A	`conf`	Tractable negotiation in tree-structured domains. AAMAS Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2006	—	`conf`	Une approche multi-agent adaptative pour la simulation de schémas tactiques. EGC Aydano Machado, Yann Chevaleyre, Jean-Daniel Zucker
2005	—	`conf`	Maximal Classes of Utility Functions for Efficient one-to-one Negotiation: Extended Abstract. BNAIC Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2005	J	`jnl`	Multiagent resource allocation. Knowl. Eng. Rev. Yann Chevaleyre, Paul E. Dunne, Ulle Endriss, Jérôme Lang, Nicolas Maudet, Juan A. Rodríguez-Aguilar
2005	A	`conf`	Negotiating over small bundles of resources. AAMAS Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet
2005	A*	`conf`	On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation. IJCAI Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2005	—	`conf`	Sur le caractère égalitaire de l'allocation de ressources distribuée. JFSMA Sylvia Estivie, Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
2004	A	`conf`	A Theoretical Analysis of Multi-Agent Patrolling Strategies. AAMAS Yann Chevaleyre, François Sempé, Geber L. Ramalho
2004	—	`conf`	Recent Advances on Multi-agent Patrolling. SBIA Alessandro Almeida, Geber L. Ramalho, Hugo Santana, Patrícia Azevedo Tedesco, Talita Menezes, Vincent Corruble, Yann Chevaleyre
2004	—	`conf`	Theoretical Analysis of the Multi-agent Patrolling Problem. IAT Yann Chevaleyre
2004	—	`conf`	Welfare Engineering in Practice: On the Variety of Multiagent Resource Allocation Problems. ESAW Yann Chevaleyre, Ulrich Endriss, Sylvia Estivie, Nicolas Maudet
2003	J	`jnl`	A meta-learning approach to ground symbols from visual percepts. Robotics Auton. Syst. Nicolas Bredèche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah
2002	B	`conf`	A Wrapper-Based Approach to Robot Learning Concepts from Images. PRICAI Nicolas Bredèche, Jean-Daniel Zucker, Yann Chevaleyre
2002	—	`conf`	Wrapper for Object Detection in an Autonomous Mobile Robot. ICPR (2) Nicolas Bredèche, Yann Chevaleyre, Louis Hugues
2001	—	`conf`	A Framework for Learning Rules from Multiple Instance Data. ECML Yann Chevaleyre, Jean-Daniel Zucker
2001	Misc	`conf`	Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. AI Yann Chevaleyre, Jean-Daniel Zucker