Barbier, Jean

8 publications

COLT 2025 Information-Theoretic Reduction of Deep Neural Networks to Linear Models in the Overparametrized Proportional Regime Francesco Camilli, Daria Tieplova, Eleonora Bergamin, Jean Barbier

NeurIPS 2022 The Price of Ignorance: How Much Does It Cost to Forget Noise Structure in Low-Rank Matrix Estimation? Jean Barbier, TianQi Hou, Marco Mondelli, Manuel Saenz

NeurIPS 2020 All-or-Nothing Statistical and Computational Phase Transitions in Sparse Spiked Matrix Estimation Jean Barbier, Nicolas Macris, Cynthia Rush

NeurIPS 2020 Information Theoretic Limits of Learning a Sparse Rule Clément Luneau, Jean Barbier, Nicolas Macris

NeurIPS 2018 Entropy and Mutual Information in Models of Deep Neural Networks Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová

COLT 2018 Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová

NeurIPS 2018 The Committee Machine: Computational to Statistical Gaps in Learning a Two-Layers Neural Network Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová

NeurIPS 2016 Mutual Information for Symmetric Rank-One Matrix Estimation: A Proof of the Replica Formula Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová