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2020 – today
- 2024
[c63]Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen:
Exploring Precision and Recall to assess the quality and diversity of LLMs. ACL (1) 2024: 11418-11441- [c62]Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
Optimal Budgeted Rejection Sampling for Generative Models. AISTATS 2024: 3367-3375 - [i25]Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen:
Exploring Precision and Recall to assess the quality and diversity of LLMs. CoRR abs/2402.10693 (2024) - 2023
- [c61]Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger:
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. AISTATS 2023: 4768-4801 - [c60]Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre:
On the Role of Randomization in Adversarially Robust Classification. NeurIPS 2023 - [c59]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. NeurIPS 2023 - [i24]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Training Normalizing Flows with the Precision-Recall Divergence. CoRR abs/2302.00628 (2023) - [i23]Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier:
Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR abs/2302.07221 (2023) - [i22]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. CoRR abs/2305.18910 (2023) - [i21]Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre:
Adversarial attacks for mixtures of classifiers. CoRR abs/2307.10788 (2023) - [i20]Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
Optimal Budgeted Rejection Sampling for Generative Models. CoRR abs/2311.00460 (2023) - 2022
- [j12]Rafael Pinot
, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif:
On the robustness of randomized classifiers to adversarial examples. Mach. Learn. 111(9): 3425-3457 (2022) - [c58]Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi:
On the expressivity of bi-Lipschitz normalizing flows. ACML 2022: 1054-1069 - [c57]Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredèche, Yann Chevaleyre:
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. IROS 2022: 9302-9309 - [c56]Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Consistency in Adversarial Classification. NeurIPS 2022 - [c55]Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre:
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. NeurIPS 2022 - [i19]Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredèche, Yann Chevaleyre:
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. CoRR abs/2203.01148 (2022) - [i18]Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Consistency in Adversarial Classification. CoRR abs/2205.10022 (2022) - [i17]Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre:
An α-No-Regret Algorithm For Graphical Bilinear Bandits. CoRR abs/2206.00466 (2022) - [i16]Raphael Ettedgui, Alexandre Araujo, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. CoRR abs/2206.01715 (2022) - 2021
- [c54]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI 2021: 6661-6669 - [c53]Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud:
Asymptotic convergence rates for averaging strategies. FOGA 2021: 1:1-1:11 - [c52]Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
Mixed Nash Equilibria in the Adversarial Examples Game. ICML 2021: 7677-7687 - [c51]Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre:
Best Arm Identification in Graphical Bilinear Bandits. ICML 2021: 9010-9019 - [i15]Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
Mixed Nash Equilibria in the Adversarial Examples Game. CoRR abs/2102.06905 (2021) - [i14]Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif:
On the robustness of randomized classifiers to adversarial examples. CoRR abs/2102.10875 (2021) - [i13]Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre:
On the expressivity of bi-Lipschitz normalizing flows. CoRR abs/2107.07232 (2021) - [i12]Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud:
Asymptotic convergence rates for averaging strategies. CoRR abs/2108.04707 (2021) - 2020
- [c50]Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker:
Learning Interpretable Models using Soft Integrity Constraints. ACML 2020: 529-544 - [c49]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI 2020: 945-952 - [c48]Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif:
Randomization matters How to defend against strong adversarial attacks. ICML 2020: 7717-7727 - [c47]Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris:
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. ICRA 2020: 3756-3762 - [c46]Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud:
On Averaging the Best Samples in Evolutionary Computation. PPSN (2) 2020: 661-674 - [p3]Leila Amgoud, Yann Chevaleyre, Nicolas Maudet:
Negotiation and Persuasion Among Agents. A Guided Tour of Artificial Intelligence Research (1) (I) 2020: 651-672 - [i11]Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif:
Randomization matters. How to defend against strong adversarial attacks. CoRR abs/2002.11565 (2020) - [i10]Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud:
Proving μ>1. CoRR abs/2004.11685 (2020) - [i9]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. CoRR abs/2006.08391 (2020) - [i8]Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre:
Best Arm Identification in Graphical Bilinear Bandits. CoRR abs/2012.07641 (2020)
2010 – 2019
- 2019
- [j11]Aurélie Beynier, Yann Chevaleyre, Laurent Gourvès, Ararat Harutyunyan, Julien Lesca, Nicolas Maudet, Anaëlle Wilczynski:
Local envy-freeness in house allocation problems. Auton. Agents Multi Agent Syst. 33(5): 591-627 (2019) - [c45]Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar:
Interpretable Cascade Classifiers with Abstention. AISTATS 2019: 2312-2320 - [i7]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On the Expressive Power of Deep Fully Circulant Neural Networks. CoRR abs/1901.10255 (2019) - [i6]Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif:
Robust Neural Networks using Randomized Adversarial Training. CoRR abs/1903.10219 (2019) - [i5]Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris:
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. CoRR abs/1910.00514 (2019) - 2018
- [c44]Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker:
A Provable Algorithm for Learning Interpretable Scoring Systems. AISTATS 2018: 566-574 - [c43]Aurélie Beynier, Yann Chevaleyre, Laurent Gourvès, Julien Lesca, Nicolas Maudet, Anaëlle Wilczynski:
Local Envy-Freeness in House Allocation Problems. AAMAS 2018: 292-300 - [c42]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. ECCV Workshops (4) 2018: 271-286 - [c41]Khaled Belahcène, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane:
Accountable Approval Sorting. IJCAI 2018: 70-76 - [c40]Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker:
Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization. MLDM (1) 2018: 421-435 - [i4]Thanh Hai Nguyen, Edi Prifti, Yann Chevaleyre, Nataliya Sokolovska, Jean-Daniel Zucker:
Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. CoRR abs/1806.09046 (2018) - [i3]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training compact deep learning models for video classification using circulant matrices. CoRR abs/1810.01140 (2018) - 2017
- [j10]Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
Distributed fair allocation of indivisible goods. Artif. Intell. 242: 1-22 (2017) - [c39]Sylvain Bouveret, Yann Chevaleyre, François Durand, Jérôme Lang:
Voting by sequential elimination with few voters. IJCAI 2017: 128-134 - [c38]Nataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker:
The fused lasso penalty for learning interpretable medical scoring systems. IJCNN 2017: 4504-4511 - [i2]Thanh Hai Nguyen, Yann Chevaleyre, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker:
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks. CoRR abs/1712.00244 (2017) - 2016
- [c37]Pegah Alizadeh, Yann Chevaleyre, François Lévy:
Advantage based value iteration for Markov decision processes with unknown rewards. IJCNN 2016: 3837-3844 - [c36]Pegah Alizadeh, Yann Chevaleyre, François Lévy:
Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions. STAIRS 2016: 15-26 - [r1]Sylvain Bouveret, Yann Chevaleyre, Nicolas Maudet:
Fair Allocation of Indivisible Goods. Handbook of Computational Social Choice 2016: 284-310 - 2015
- [c35]Anastasia Damamme, Aurélie Beynier, Yann Chevaleyre, Nicolas Maudet:
The Power of Swap Deals in Distributed Resource Allocation. AAMAS 2015: 625-633 - [c34]Jean-Daniel Zucker, Yann Chevaleyre, Dao Van Sang:
Experimental analysis of new algorithms for learning ternary classifiers. RIVF 2015: 19-24 - [c33]Pegah Alizadeh, Yann Chevaleyre, Jean-Daniel Zucker:
Approximate regret based elicitation in Markov decision process. RIVF 2015: 47-52 - [c32]Van-Minh Le, Yann Chevaleyre, Hô Tuòng Vinh, Jean-Daniel Zucker:
Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation. RIVF 2015: 138-143 - 2014
- [c31]Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Tuong-Vinh Ho:
Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami. ISCRAM-med 2014: 21-31 - 2013
- [c30]Yann Chevaleyre, Frédéric Koriche, Jean-Daniel Zucker:
Rounding Methods for Discrete Linear Classification. ICML (1) 2013: 651-659 - [c29]Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh:
Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation. RIVF 2013: 215-220 - 2012
- [j9]Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot, Lirong Xia:
New candidates welcome! Possible winners with respect to the addition of new candidates. Math. Soc. Sci. 64(1): 74-88 (2012) - [c28]Yann Chevaleyre, Aydano Machado Pamponet:
Adaptive Probabilistic Policy Reuse. ICONIP (3) 2012: 603-611 - [c27]Thi Anh Ngoc Nguyen, Yann Chevaleyre, Jean-Daniel Zucker:
Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami. WETICE 2012: 394-396 - 2011
- [c26]Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot:
Compilation and communication protocols for voting rules with a dynamic set of candidates. TARK 2011: 153-160 - [i1]Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot, Lirong Xia:
New Candidates Welcome! Possible Winners with respect to the Addition of New Candidates. CoRR abs/1111.3690 (2011) - 2010
- [j8]Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality. Auton. Agents Multi Agent Syst. 20(2): 234-259 (2010) - [c25]Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot:
Possible Winners when New Candidates Are Added: The Case of Scoring Rules. AAAI 2010: 762-767 - [c24]Richard Booth, Yann Chevaleyre, Jérôme Lang, Jérôme Mengin, Chattrakul Sombattheera:
Learning conditionally lexicographic preference relations. ECAI 2010: 269-274 - [p2]Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, Bruno Zanuttini:
Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. Preference Learning 2010: 273-296
2000 – 2009
- 2009
- [j7]Joel Uckelman, Yann Chevaleyre, Ulle Endriss, Jérôme Lang:
Representing Utility Functions via Weighted Goals. Math. Log. Q. 55(4): 341-361 (2009) - [c23]Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Guillaume Ravilly-Abadie:
Compiling the Votes of a Subelectorate. IJCAI 2009: 97-102 - 2008
- [j6]Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet:
Preference Handling in Combinatorial Domains: From AI to Social Choice. AI Mag. 29(4): 37-46 (2008) - [j5]Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet:
Multiagent resource allocation in k -additive domains: preference representation and complexity. Ann. Oper. Res. 163(1): 49-62 (2008) - [j4]Paul E. Dunne, Yann Chevaleyre:
The complexity of deciding reachability properties of distributed negotiation schemes. Theor. Comput. Sci. 396(1-3): 113-144 (2008) - [c22]Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
Trajectories of goods in distributed allocation. AAMAS (2) 2008: 1111-1118 - [c21]Yann Chevaleyre, Aydano Machado, Jean-Daniel Zucker:
Experiments with Adaptive Transfer Rate in Reinforcement Learning. PKAW 2008: 1-11 - [c20]Nicolas Bredèche, Yann Chevaleyre:
The robot swarm re-localization problem. ROBIO 2008: 1876-1881 - 2007
- [c19]Yann Chevaleyre, Ulrich Endriss, Nicolas Maudet:
Allocating Goods on a Graph to Eliminate Envy. AAAI 2007: 700-705 - [c18]Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet:
Reaching Envy-Free States in Distributed Negotiation Settings. IJCAI 2007: 1239-1244 - [c17]Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet:
A Short Introduction to Computational Social Choice. SOFSEM (1) 2007: 51-69 - 2006
- [j3]Yann Chevaleyre, Paul E. Dunne, Ulle Endriss, Jérôme Lang, Michel Lemaître, Nicolas Maudet, Julian A. Padget, Steve Phelps, Juan A. Rodríguez-Aguilar, Paulo Sousa:
Issues in Multiagent Resource Allocation. Informatica (Slovenia) 30(1): 3-31 (2006) - [c16]Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
Tractable negotiation in tree-structured domains. AAMAS 2006: 362-369 - [c15]Sylvia Estivie, Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
How equitable is rational negotiation? AAMAS 2006: 866-873 - [c14]Aydano Machado, Yann Chevaleyre, Jean-Daniel Zucker:
Une approche multi-agent adaptative pour la simulation de schémas tactiques. EGC 2006: 143-148 - [c13]Yann Chevaleyre, Ulle Endriss, Jérôme Lang:
Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling. KR 2006: 145-152 - [p1]Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
Some Recent Results and Open Questions in Distributed Resource Allocation. Decision Theory and Multi-Agent Planning 2006: 49-63 - 2005
- [j2]Yann Chevaleyre, Paul E. Dunne, Ulle Endriss, Jérôme Lang, Nicolas Maudet, Juan A. Rodríguez-Aguilar:
Multiagent resource allocation. Knowl. Eng. Rev. 20(2): 143-149 (2005) - [c12]Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet:
Negotiating over small bundles of resources. AAMAS 2005: 296-302 - [c11]Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
Maximal Classes of Utility Functions for Efficient one-to-one Negotiation: Extended Abstract. BNAIC 2005: 331-332 - [c10]Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation. IJCAI 2005: 941-946 - [c9]Sylvia Estivie, Yann Chevaleyre, Ulle Endriss, Nicolas Maudet:
Sur le caractère égalitaire de l'allocation de ressources distribuée. JFSMA 2005: 143-156 - 2004
- [c8]Yann Chevaleyre, François Sempé, Geber L. Ramalho:
A Theoretical Analysis of Multi-Agent Patrolling Strategies. AAMAS 2004: 1524-1525 - [c7]Yann Chevaleyre, Ulrich Endriss, Sylvia Estivie, Nicolas Maudet:
Welfare Engineering in Practice: On the Variety of Multiagent Resource Allocation Problems. ESAW 2004: 335-347 - [c6]Yann Chevaleyre:
Theoretical Analysis of the Multi-agent Patrolling Problem. IAT 2004: 302-308 - [c5]Alessandro Almeida, Geber L. Ramalho, Hugo Santana, Patrícia Azevedo Tedesco, Talita Menezes, Vincent Corruble, Yann Chevaleyre:
Recent Advances on Multi-agent Patrolling. SBIA 2004: 474-483 - 2003
- [j1]Nicolas Bredèche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah:
A meta-learning approach to ground symbols from visual percepts. Robotics Auton. Syst. 43(2-3): 149-162 (2003) - 2002
- [c4]Nicolas Bredèche, Yann Chevaleyre, Louis Hugues:
Wrapper for Object Detection in an Autonomous Mobile Robot. ICPR (2) 2002: 749-752 - [c3]Nicolas Bredèche, Jean-Daniel Zucker, Yann Chevaleyre:
A Wrapper-Based Approach to Robot Learning Concepts from Images. PRICAI 2002: 616 - 2001
- [c2]Yann Chevaleyre, Jean-Daniel Zucker:
Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. AI 2001: 204-214 - [c1]Yann Chevaleyre, Jean-Daniel Zucker:
A Framework for Learning Rules from Multiple Instance Data. ECML 2001: 49-60
Coauthor Index
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