Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. - Yann Chevaleyre; Jean-Daniel Zucker (AI, 2001)

A Framework for Learning Rules from Multiple Instance Data. - Yann Chevaleyre; Jean-Daniel Zucker (ECML, 2001)

Wrapper for Object Detection in an Autonomous Mobile Robot. - Nicolas Bredèche; Yann Chevaleyre; Louis Hugues (ICPR (2), 2002)

A Wrapper-Based Approach to Robot Learning Concepts from Images. - Nicolas Bredèche; Jean-Daniel Zucker; Yann Chevaleyre (PRICAI, 2002)

A meta-learning approach to ground symbols from visual percepts. - Nicolas Bredèche; Yann Chevaleyre; Jean-Daniel Zucker; Alexis Drogoul; Gérard Sabah (Robotics Auton. Syst., 2003)

A Theoretical Analysis of Multi-Agent Patrolling Strategies. - Yann Chevaleyre; François Sempé; Geber L. Ramalho (AAMAS, 2004)

Welfare Engineering in Practice: On the Variety of Multiagent Resource Allocation Problems. - Yann Chevaleyre; Ulrich Endriss; Sylvia Estivie; Nicolas Maudet (ESAW, 2004)

Theoretical Analysis of the Multi-agent Patrolling Problem. - Yann Chevaleyre (IAT, 2004)

Recent Advances on Multi-agent Patrolling. - Alessandro Almeida; Geber L. Ramalho; Hugo Santana; Patrícia Azevedo Tedesco; Talita Menezes; Vincent Corruble; Yann Chevaleyre (SBIA, 2004)

Negotiating over small bundles of resources. - Yann Chevaleyre; Ulle Endriss; Jérôme Lang; Nicolas Maudet (AAMAS, 2005)

Maximal Classes of Utility Functions for Efficient one-to-one Negotiation: Extended Abstract. - Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (BNAIC, 2005)

On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation. - Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (IJCAI, 2005)

Sur le caractère égalitaire de l'allocation de ressources distribuée. - Sylvia Estivie; Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (JFSMA, 2005)

Multiagent resource allocation. - Yann Chevaleyre; Paul E. Dunne; Ulle Endriss; Jérôme Lang; Nicolas Maudet; Juan A. Rodríguez-Aguilar (Knowl. Eng. Rev., 2005)

Some Recent Results and Open Questions in Distributed Resource Allocation. - Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (Decision Theory and Multi-Agent Planning, 2006)

Tractable negotiation in tree-structured domains. - Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (AAMAS, 2006)

How equitable is rational negotiation? - Sylvia Estivie; Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (AAMAS, 2006)

Une approche multi-agent adaptative pour la simulation de schémas tactiques. - Aydano Machado; Yann Chevaleyre; Jean-Daniel Zucker (EGC, 2006)

Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling. - Yann Chevaleyre; Ulle Endriss; Jérôme Lang (KR, 2006)

Issues in Multiagent Resource Allocation. - Yann Chevaleyre; Paul E. Dunne; Ulle Endriss; Jérôme Lang; Michel Lemaître; Nicolas Maudet; Julian A. Padget; Steve Phelps; Juan A. Rodríguez-Aguilar; Paulo Sousa (Informatica (Slovenia), 2006)

Allocating Goods on a Graph to Eliminate Envy. - Yann Chevaleyre; Ulrich Endriss; Nicolas Maudet (AAAI, 2007)

Reaching Envy-Free States in Distributed Negotiation Settings. - Yann Chevaleyre; Ulle Endriss; Sylvia Estivie; Nicolas Maudet (IJCAI, 2007)

A Short Introduction to Computational Social Choice. - Yann Chevaleyre; Ulle Endriss; Jérôme Lang; Nicolas Maudet (SOFSEM (1), 2007)

Trajectories of goods in distributed allocation. - Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (AAMAS (2), 2008)

Experiments with Adaptive Transfer Rate in Reinforcement Learning. - Yann Chevaleyre; Aydano Machado; Jean-Daniel Zucker (PKAW, 2008)

The robot swarm re-localization problem. - Nicolas Bredèche; Yann Chevaleyre (ROBIO, 2008)

Preference Handling in Combinatorial Domains: From AI to Social Choice. - Yann Chevaleyre; Ulle Endriss; Jérôme Lang; Nicolas Maudet (AI Mag., 2008)

Multiagent resource allocation in k -additive domains: preference representation and complexity. - Yann Chevaleyre; Ulle Endriss; Sylvia Estivie; Nicolas Maudet (Ann. Oper. Res., 2008)

The complexity of deciding reachability properties of distributed negotiation schemes. - Paul E. Dunne; Yann Chevaleyre (Theor. Comput. Sci., 2008)

Compiling the Votes of a Subelectorate. - Yann Chevaleyre; Jérôme Lang; Nicolas Maudet; Guillaume Ravilly-Abadie (IJCAI, 2009)

Representing Utility Functions via Weighted Goals. - Joel Uckelman; Yann Chevaleyre; Ulle Endriss; Jérôme Lang (Math. Log. Q., 2009)

Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. - Yann Chevaleyre; Frédéric Koriche; Jérôme Lang; Jérôme Mengin; Bruno Zanuttini (Preference Learning, 2010)

Possible Winners when New Candidates Are Added: The Case of Scoring Rules. - Yann Chevaleyre; Jérôme Lang; Nicolas Maudet; Jérôme Monnot (AAAI, 2010)

Learning conditionally lexicographic preference relations. - Richard Booth 001; Yann Chevaleyre; Jérôme Lang; Jérôme Mengin; Chattrakul Sombattheera (ECAI, 2010)

Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality. - Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (Auton. Agents Multi Agent Syst., 2010)

Compilation and communication protocols for voting rules with a dynamic set of candidates. - Yann Chevaleyre; Jérôme Lang; Nicolas Maudet; Jérôme Monnot (TARK, 2011)

Adaptive Probabilistic Policy Reuse. - Yann Chevaleyre; Aydano Machado Pamponet (ICONIP (3), 2012)

Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami. - Thi Anh Ngoc Nguyen; Yann Chevaleyre; Jean-Daniel Zucker (WETICE, 2012)

New candidates welcome! Possible winners with respect to the addition of new candidates. - Yann Chevaleyre; Jérôme Lang; Nicolas Maudet; Jérôme Monnot; Lirong Xia (Math. Soc. Sci., 2012)

Rounding Methods for Discrete Linear Classification. - Yann Chevaleyre; Frédéric Koriche; Jean-Daniel Zucker (ICML (1), 2013)

Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation. - Van-Minh Le; Yann Chevaleyre; Jean-Daniel Zucker; Hô Tuòng Vinh (RIVF, 2013)

Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami. - Van-Minh Le; Yann Chevaleyre; Jean-Daniel Zucker; Tuong-Vinh Ho (ISCRAM-med, 2014)

The Power of Swap Deals in Distributed Resource Allocation. - Anastasia Damamme; Aurélie Beynier; Yann Chevaleyre; Nicolas Maudet (AAMAS, 2015)

Approximate regret based elicitation in Markov decision process. - Pegah Alizadeh; Yann Chevaleyre; Jean-Daniel Zucker (RIVF, 2015)

Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation. - Van-Minh Le; Yann Chevaleyre; Hô Tuòng Vinh; Jean-Daniel Zucker (RIVF, 2015)

Experimental analysis of new algorithms for learning ternary classifiers. - Jean-Daniel Zucker; Yann Chevaleyre; Dao Van Sang (RIVF, 2015)

Advantage based value iteration for Markov decision processes with unknown rewards. - Pegah Alizadeh; Yann Chevaleyre; François Lévy (IJCNN, 2016)

Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions. - Pegah Alizadeh; Yann Chevaleyre; François Lévy (STAIRS, 2016)

Fair Allocation of Indivisible Goods. - Sylvain Bouveret; Yann Chevaleyre; Nicolas Maudet (Handbook of Computational Social Choice, 2016)

Voting by sequential elimination with few voters. - Sylvain Bouveret; Yann Chevaleyre; François Durand; Jérôme Lang (IJCAI, 2017)

The fused lasso penalty for learning interpretable medical scoring systems. - Nataliya Sokolovska; Yann Chevaleyre; Karine Clément; Jean-Daniel Zucker (IJCNN, 2017)

Distributed fair allocation of indivisible goods. - Yann Chevaleyre; Ulle Endriss; Nicolas Maudet (Artif. Intell., 2017)

Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks. - Thanh Hai Nguyen 001; Yann Chevaleyre; Edi Prifti; Nataliya Sokolovska; Jean-Daniel Zucker (CoRR, 2017)

A Provable Algorithm for Learning Interpretable Scoring Systems. - Nataliya Sokolovska; Yann Chevaleyre; Jean-Daniel Zucker (AISTATS, 2018)

Local Envy-Freeness in House Allocation Problems. - Aurélie Beynier; Yann Chevaleyre; Laurent Gourvès; Julien Lesca; Nicolas Maudet; Anaëlle Wilczynski (AAMAS, 2018)

Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (ECCV Workshops (4), 2018)

Accountable Approval Sorting. - Khaled Belahcène; Yann Chevaleyre; Christophe Labreuche; Nicolas Maudet; Vincent Mousseau; Wassila Ouerdane (IJCAI, 2018)

Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization. - Nataliya Sokolovska; Yann Chevaleyre; Jean-Daniel Zucker (MLDM (1), 2018)

Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. - Thanh Hai Nguyen 001; Edi Prifti; Yann Chevaleyre; Nataliya Sokolovska; Jean-Daniel Zucker (CoRR, 2018)

Interpretable Cascade Classifiers with Abstention. - Matthieu Clertant; Nataliya Sokolovska; Yann Chevaleyre; Blaise Hanczar (AISTATS, 2019)

Local envy-freeness in house allocation problems. - Aurélie Beynier; Yann Chevaleyre; Laurent Gourvès; Ararat Harutyunyan; Julien Lesca; Nicolas Maudet; Anaëlle Wilczynski (Auton. Agents Multi Agent Syst., 2019)

On the Expressive Power of Deep Fully Circulant Neural Networks. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (CoRR, 2019)

Robust Neural Networks using Randomized Adversarial Training. - Alexandre Araujo; Rafael Pinot; Benjamin Négrevergne; Laurent Meunier; Yann Chevaleyre; Florian Yger; Jamal Atif (CoRR, 2019)

Negotiation and Persuasion Among Agents. - Leila Amgoud; Yann Chevaleyre; Nicolas Maudet (A Guided Tour of Artificial Intelligence Research (1) (I), 2020)

Learning Interpretable Models using Soft Integrity Constraints. - Khaled Belahcène; Nataliya Sokolovska; Yann Chevaleyre; Jean-Daniel Zucker (ACML, 2020)

Understanding and Training Deep Diagonal Circulant Neural Networks. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (ECAI, 2020)

Randomization matters How to defend against strong adversarial attacks. - Rafael Pinot; Raphael Ettedgui; Geovani Rizk; Yann Chevaleyre; Jamal Atif (ICML, 2020)

Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. - Alexis Duburcq; Yann Chevaleyre; Nicolas Bredèche; Guilhem Boéris (ICRA, 2020)

On Averaging the Best Samples in Evolutionary Computation. - Laurent Meunier; Yann Chevaleyre; Jérémy Rapin; Clément W. Royer; Olivier Teytaud (PPSN (2), 2020)

Proving μ>1. - Laurent Meunier; Yann Chevaleyre; Jérémy Rapin; Clément W. Royer; Olivier Teytaud (CoRR, 2020)

Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (CoRR, 2020)

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (AAAI, 2021)

Asymptotic convergence rates for averaging strategies. - Laurent Meunier; Iskander Legheraba; Yann Chevaleyre; Olivier Teytaud (FOGA, 2021)

Mixed Nash Equilibria in the Adversarial Examples Game. - Laurent Meunier; Meyer Scetbon; Rafael Pinot; Jamal Atif; Yann Chevaleyre (ICML, 2021)

Best Arm Identification in Graphical Bilinear Bandits. - Geovani Rizk; Albert Thomas 001; Igor Colin; Rida Laraki; Yann Chevaleyre (ICML, 2021)

On the expressivity of bi-Lipschitz normalizing flows. - Alexandre Verine; Benjamin Négrevergne; Yann Chevaleyre; Fabrice Rossi (ACML, 2022)

Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. - Alexis Duburcq; Fabian Schramm; Guilhem Boéris; Nicolas Bredèche; Yann Chevaleyre (IROS, 2022)

Towards Consistency in Adversarial Classification. - Laurent Meunier; Raphael Ettedgui; Rafael Pinot; Yann Chevaleyre; Jamal Atif (NeurIPS, 2022)

An $ alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. - Geovani Rizk; Igor Colin; Albert Thomas 001; Rida Laraki; Yann Chevaleyre (NeurIPS, 2022)

An α-No-Regret Algorithm For Graphical Bilinear Bandits. - Geovani Rizk; Igor Colin; Albert Thomas 001; Rida Laraki; Yann Chevaleyre (CoRR, 2022)

Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. - Raphael Ettedgui; Alexandre Araujo; Rafael Pinot; Yann Chevaleyre; Jamal Atif (CoRR, 2022)

On the robustness of randomized classifiers to adversarial examples. - Rafael Pinot; Laurent Meunier; Florian Yger; Cédric Gouy-Pailler; Yann Chevaleyre; Jamal Atif (Mach. Learn., 2022)

Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. - Ikko Yamane; Yann Chevaleyre; Takashi Ishida 001; Florian Yger (AISTATS, 2023)

On the Role of Randomization in Adversarially Robust Classification. - Lucas Gnecco Heredia; Muni Sreenivas Pydi; Laurent Meunier; Benjamin Négrevergne; Yann Chevaleyre (NeurIPS, 2023)

Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. - Alexandre Verine; Benjamin Négrevergne; Muni Sreenivas Pydi; Yann Chevaleyre (NeurIPS, 2023)

Training Normalizing Flows with the Precision-Recall Divergence. - Alexandre Verine; Benjamin Négrevergne; Muni Sreenivas Pydi; Yann Chevaleyre (CoRR, 2023)

Randomization for adversarial robustness: the Good, the Bad and the Ugly. - Lucas Gnecco Heredia; Yann Chevaleyre; Benjamin Négrevergne; Laurent Meunier (CoRR, 2023)

Adversarial attacks for mixtures of classifiers. - Lucas Gnecco Heredia; Benjamin Négrevergne; Yann Chevaleyre (CoRR, 2023)

Exploring Precision and Recall to assess the quality and diversity of LLMs. - Florian Le Bronnec; Alexandre Verine; Benjamin Négrevergne; Yann Chevaleyre; Alexandre Allauzen (ACL (1), 2024)

Optimal Budgeted Rejection Sampling for Generative Models. - Alexandre Verine; Muni Sreenivas Pydi; Benjamin Négrevergne; Yann Chevaleyre (AISTATS, 2024)

Memorization in Attention-only Transformers. - Léo Dana; Muni Sreenivas Pydi; Yann Chevaleyre (AISTATS, 2025)

Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory. - Lucas Gnecco Heredia; Matteo Sammut; Muni Sreenivas Pydi; Rafael Pinot; Benjamin Négrevergne; Yann Chevaleyre (AISTATS, 2025)

Improving Discriminator Guidance in Diffusion Models. - Alexandre Verine; Mehdi Inane; Florian Le Bronnec; Benjamin Négrevergne; Yann Chevaleyre (CoRR, 2025)

Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers. - Lucas Gnecco Heredia; Benjamin Négrevergne; Yann Chevaleyre (CoRR, 2025)

Improving Diversity in Language Models: When Temperature Fails, Change the Loss. - Alexandre Verine; Florian Le Bronnec; Kunhao Zheng; Alexandre Allauzen; Yann Chevaleyre; Benjamin Négrevergne (CoRR, 2025)