Chevaleyre, Yann

31 publications

ECML-PKDD 2025 Improving Discriminator Guidance in Diffusion Models Alexandre Verine, Mehdi Inane, Florian Le Bronnec, Benjamin Négrevergne, Yann Chevaleyre

ICML 2025 Improving Diversity in Language Models: When Temperature Fails, Change the Loss Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Negrevergne

ECML-PKDD 2025 Lattice Climber Attack: Adversarial Attacks for Randomized Mixtures of Classifiers Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre

AISTATS 2025 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 Negrevergne, Yann Chevaleyre

AISTATS 2024 Optimal Budgeted Rejection Sampling for Generative Models Alexandre Verine, Muni Sreenivas Pydi, Benjamin Negrevergne, Yann Chevaleyre

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

NeurIPS 2023 On the Role of Randomization in Adversarially Robust Classification Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Negrevergne, Yann Chevaleyre

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

NeurIPS 2022 An $\alpha$-No-Regret Algorithm for Graphical Bilinear Bandits Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre

ACML 2022 On the Expressivity of Bi-Lipschitz Normalizing Flows Alexandre Verine, Benjamin Negrevergne, Yann Chevaleyre, Fabrice Rossi

MLJ 2022 On the Robustness of Randomized Classifiers to Adversarial Examples Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif

NeurIPS 2022 Towards Consistency in Adversarial Classification Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif

ICML 2021 Best Arm Identification in Graphical Bilinear Bandits Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre

ICML 2021 Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier, Meyer Scetbon, Rafael B Pinot, Jamal Atif, Yann Chevaleyre

AAAI 2021 On Lipschitz Regularization of Convolutional Layers Using Toeplitz Matrix Theory Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

ICMLW 2021 On the Expressivity of Bi-Lipschitz Normalizing Flows Alexandre Verine, Yann Chevaleyre, Fabrice Rossi, Benjamin Negrevergne

ACML 2020 Learning Interpretable Models Using Soft Integrity Constraints Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker

ICML 2020 Randomization Matters How to Defend Against Strong Adversarial Attacks Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif

AISTATS 2019 Interpretable Cascade Classifiers with Abstention Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar

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

IJCAI 2018 Accountable Approval Sorting Khaled Belahcène, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane

ECCVW 2018 Training Compact Deep Learning Models for Video Classification Using Circulant Matrices Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

IJCAI 2017 Voting by Sequential Elimination with Few Voters Sylvain Bouveret, Yann Chevaleyre, François Durand, Jérôme Lang

ICML 2013 Rounding Methods for Discrete Linear Classification Yann Chevaleyre, Frédéerick Koriche, Jean-daniel Zucker

AAAI 2010 Possible Winners When New Candidates Are Added: The Case of Scoring Rules Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot

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

AAAI 2007 Allocating Goods on a Graph to Eliminate Envy Yann Chevaleyre, Ulrich Endriss, Nicolas Maudet

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

IJCAI 2005 On Maximal Classes of Utility Functions for Efficient One-to-One Negotiation Yann Chevaleyre, Ulle Endriss, Nicolas Maudet

ECML-PKDD 2001 A Framework for Learning Rules from Multiple Instance Data Yann Chevaleyre, Jean-Daniel Zucker