Jean Barbier - RankMe

100 papers A* 8B 17Journal 68Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Information-Theoretic Limits and Vector Approximate Message-Passing for High-Dimensional Time Series. IEEE Trans. Inf. Theory Daria Tieplova, Samriddha Lahiry, Jean Barbier
2026	J	`jnl`	When pre-training hurts LoRA fine-tuning: a dynamical analysis via single-index models. CoRR Gibbs Nwemadji, Bruno Loureiro, Jean Barbier
2025	J	`jnl`	Generalization performance of narrow one-hidden layer networks in the teacher-student setting. CoRR Jean Barbier, Federica Gerace, Alessandro Ingrosso, Clarissa Lauditi, Enrico M. Malatesta, Gibbs Nwemadji, Rodrigo Pérez Ortiz
2025	B	`conf`	Information-Theoretic Limits and Approximate Message-Passing for High-Dimensional Time Series. ISIT Daria Tieplova, Jean Barbier, Samriddha Lahiry
2025	J	`jnl`	Information-theoretic limits and approximate message-passing for high-dimensional time series. CoRR Daria Tieplova, Samriddha Lahiry, Jean Barbier
2025	A*	`conf`	Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime. COLT Francesco Camilli, Daria Tieplova, Eleonora Bergamin, Jean Barbier
2025	J	`jnl`	Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime. CoRR Francesco Camilli, Daria Tieplova, Eleonora Bergamin, Jean Barbier
2025	J	`jnl`	Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation. CoRR Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk
2025	J	`jnl`	Statistical mechanics of extensive-width Bayesian neural networks near interpolation. CoRR Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk
2025	J	`jnl`	Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation. CoRR Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk
2025	J	`jnl`	The Effect of Label Noise on the Information Content of Neural Representations. CoRR Ali Hussaini Umar, Franky Kevin Nando Tezoh, Jean Barbier, Santiago Acevedo, Alessandro Laio
2024	J	`jnl`	A multiscale cavity method for sublinear-rank symmetric matrix factorization. CoRR Jean Barbier, Justin Ko, Anas A. Rahman
2024	J	`jnl`	Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise. CoRR Jean Barbier, Francesco Camilli, Marco Mondelli, Yizhou Xu
2024	J	`jnl`	Machine learning for cerebral blood vessels' malformations. CoRR Irem Topal, Alexander Cherevko, Yuri Bugay, Maxim A. Shishlenin, Jean Barbier, Deniz Eroglu, Édgar Roldán, Roman Belousov
2024	J	`jnl`	Matrix Inference in Growing Rank Regimes. IEEE Trans. Inf. Theory Farzad Pourkamali, Jean Barbier, Nicolas Macris
2024	J	`jnl`	On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance. CoRR Jean Barbier, Francesco Camilli, Justin Ko, Koki Okajima
2023	B	`conf`	Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing. ISIT Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bai, Jean Barbier, Tianqi Hou
2023	J	`jnl`	Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing. CoRR Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bob Bai, Jean Barbier, Tianqi Hou
2023	J	`jnl`	Fundamental limits of overparametrized shallow neural networks for supervised learning. CoRR Francesco Camilli, Daria Tieplova, Jean Barbier
2023	J	`jnl`	Matrix Inference in Growing Rank Regimes. CoRR Farzad Pourkamali, Jean Barbier, Nicolas Macris
2023	B	`conf`	Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. ISIT Teng Fu, Yuhao Liu, Jean Barbier, Marco Mondelli, Shansuo Liang, Tianqi Hou
2023	J	`jnl`	Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. CoRR Teng Fu, Yuhao Liu, Jean Barbier, Marco Mondelli, Shansuo Liang, Tianqi Hou
2022	J	`jnl`	Bayes-optimal limits in structured PCA, and how to reach them. CoRR Jean Barbier, Francesco Camilli, Marco Mondelli, Manuel Sáenz
2022	B	`conf`	Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices. ISIT Tianqi Hou, Yuhao Liu, Teng Fu, Jean Barbier
2022	J	`jnl`	Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices. CoRR Tianqi Hou, Yuhao Liu, Teng Fu, Jean Barbier
2022	B	`conf`	Sparse superposition codes with rotational invariant coding matrices for memoryless channels. ITW Yuhao Liu, Teng Fu, Jean Barbier, Tianqi Hou
2022	J	`jnl`	Sparse superposition codes with rotational invariant coding matrices for memoryless channels. CoRR Yuhao Liu, Teng Fu, Jean Barbier, Tianqi Hou
2022	J	`jnl`	The mighty force: statistical inference and high-dimensional statistics. CoRR Erik Aurell, Jean Barbier, Aurélien Decelle, Roberto Mulet
2022	A*	`conf`	The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NeurIPS Jean Barbier, Tianqi Hou, Marco Mondelli, Manuel Sáenz
2022	J	`jnl`	The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? CoRR Jean Barbier, Tianqi Hou, Marco Mondelli, Manuel Sáenz
2021	J	`jnl`	Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model. IEEE Trans. Inf. Theory Jean Barbier, Chun Lam Chan, Nicolas Macris
2021	J	`jnl`	Performance of Bayesian linear regression in a model with mismatch. CoRR Jean Barbier, Wei-Kuo Chen, Dmitry Panchenko, Manuel Sáenz
2021	J	`jnl`	Statistical limits of dictionary learning: random matrix theory and the spectral replica method. CoRR Jean Barbier, Nicolas Macris
2020	A*	`conf`	All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation. NeurIPS Jean Barbier, Nicolas Macris, Cynthia Rush
2020	J	`jnl`	All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation. CoRR Jean Barbier, Nicolas Macris, Cynthia Rush
2020	J	`jnl`	High-dimensional inference: a statistical mechanics perspective. CoRR Jean Barbier
2020	B	`conf`	High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case. ISIT Clément Luneau, Nicolas Macris, Jean Barbier
2020	J	`jnl`	High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case. CoRR Clément Luneau, Nicolas Macris, Jean Barbier
2020	A*	`conf`	Information theoretic limits of learning a sparse rule. NeurIPS Clément Luneau, Jean Barbier, Nicolas Macris
2020	J	`jnl`	Information theoretic limits of learning a sparse rule. CoRR Clément Luneau, Jean Barbier, Nicolas Macris
2020	B	`conf`	Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. ISIT Jean Barbier, Galen Reeves
2020	J	`jnl`	Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. CoRR Jean Barbier, Galen Reeves
2020	J	`jnl`	Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation. IEEE Trans. Inf. Theory Jean Barbier, Nicolas Macris, Mohamad Dia, Florent Krzakala
2020	J	`jnl`	Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures. CoRR Jean Barbier, Dmitry Panchenko, Manuel Sáenz
2020	J	`jnl`	Strong replica symmetry in high-dimensional optimal Bayesian inference. CoRR Jean Barbier, Dmitry Panchenko
2019	J	`jnl`	0-1 phase transitions in sparse spiked matrix estimation. CoRR Jean Barbier, Nicolas Macris
2019	—	`conf`	Blind Calibration for Sparse Regression: A State Evolution Analysis. CAMSAP Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Blind calibration for compressed sensing: State evolution and an online algorithm. CoRR Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
2019	—	`conf`	Concentration of the Matrix-Valued Minimum Mean-Square Error in Optimal Bayesian Inference. CAMSAP Jean Barbier
2019	J	`jnl`	Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference. CoRR Jean Barbier
2019	B	`conf`	Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization. ITW Jean Barbier, Clément Luneau, Nicolas Macris
2019	J	`jnl`	Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization. CoRR Jean Barbier, Clément Luneau, Nicolas Macris
2019	B	`conf`	Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method. ISIT Jean Barbier, Chun Lam Chan, Nicolas Macris
2019	J	`jnl`	Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method. CoRR Jean Barbier, Chun Lam Chan, Nicolas Macris
2019	J	`jnl`	Overlap matrix concentration in optimal Bayesian inference. CoRR Jean Barbier
2019	J	`jnl`	The adaptive interpolation method for proving replica formulas. Applications to the Curie-Weiss and Wigner spike models. CoRR Jean Barbier, Nicolas Macris
2019	J	`jnl`	Universal Sparse Superposition Codes With Spatial Coupling and GAMP Decoding. IEEE Trans. Inf. Theory Jean Barbier, Mohamad Dia, Nicolas Macris
2018	B	`conf`	Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model. ISIT Jean Barbier, Chun Lam Chan, Nicolas Macris
2018	J	`jnl`	Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model. CoRR Jean Barbier, Chun Lam Chan, Nicolas Macris
2018	A*	`conf`	Entropy and mutual information in models of deep neural networks. NeurIPS Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2018	J	`jnl`	Entropy and mutual information in models of deep neural networks. CoRR Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2018	A*	`conf`	Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. COLT Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
2018	J	`jnl`	Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2018	B	`conf`	The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. ISIT Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala
2018	J	`jnl`	The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. CoRR Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala
2018	A*	`conf`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. NeurIPS Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
2018	J	`jnl`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. CoRR Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
2017	J	`jnl`	Approximate Message-Passing Decoder and Capacity Achieving Sparse Superposition Codes. IEEE Trans. Inf. Theory Jean Barbier, Florent Krzakala
2017	J	`jnl`	Generalized Approximate Message-Passing Decoder for Universal Sparse Superposition Codes. CoRR Erdem Biyik, Jean Barbier, Mohamad Dia
2017	B	`conf`	Generalized approximate message-passing decoder for universal sparse superposition codes. ISIT Erdem Biyik, Jean Barbier, Mohamad Dia
2017	B	`conf`	I-MMSE relations in random linear estimation and a sub-extensive interpolation method. ISIT Jean Barbier, Nicolas Macris
2017	J	`jnl`	I-MMSE relations in random linear estimation and a sub-extensive interpolation method. CoRR Jean Barbier, Nicolas Macris
2017	J	`jnl`	Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation. CoRR Jean Barbier, Nicolas Macris, Mohamad Dia, Florent Krzakala
2017	J	`jnl`	Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. CoRR Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
2017	J	`jnl`	The Layered Structure of Tensor Estimation and its Mutual Information. CoRR Jean Barbier, Nicolas Macris, Léo Miolane
2017	—	`conf`	The layered structure of tensor estimation and its mutual information. Allerton Jean Barbier, Nicolas Macris, Léo Miolane
2017	J	`jnl`	The stochastic interpolation method: A simple scheme to prove replica formulas in Bayesian inference. CoRR Jean Barbier, Nicolas Macris
2017	J	`jnl`	Universal Sparse Superposition Codes with Spatial Coupling and GAMP Decoding. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris
2016	—	`conf`	Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. NIPS Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová
2016	J	`jnl`	Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová
2016	J	`jnl`	Proof of Threshold Saturation for Spatially Coupled Sparse Superposition Codes. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris
2016	B	`conf`	Proof of threshold saturation for spatially coupled sparse superposition codes. ISIT Jean Barbier, Mohamad Dia, Nicolas Macris
2016	J	`jnl`	The Mutual Information in Random Linear Estimation. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala
2016	—	`conf`	The mutual information in random linear estimation. Allerton Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala
2016	J	`jnl`	Threshold Saturation of Spatially Coupled Sparse Superposition Codes for All Memoryless Channels. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris
2016	B	`conf`	Threshold saturation of spatially coupled sparse superposition codes for all memoryless channels. ITW Jean Barbier, Mohamad Dia, Nicolas Macris
2015	J	`jnl`	Approximate message-passing decoder and capacity-achieving sparse superposition codes. CoRR Jean Barbier, Florent Krzakala
2015	J	`jnl`	Scampi: a robust approximate message-passing framework for compressive imaging. CoRR Jean Barbier, Eric W. Tramel, Florent Krzakala
2015	—	`—`	Statistical physics and approximate message passing algorithms for sparse linear estimation problems in signal processing and coding theory. (Physique statistique et algorithme approximé de passage de messages pour les problèmes parcimonieux d'estimation linéaire en traitement du signal et théorie du codage). Jean Barbier
2015	J	`jnl`	Statistical physics and approximate message-passing algorithms for sparse linear estimation problems in signal processing and coding theory. CoRR Jean Barbier
2014	J	`jnl`	Error correcting codes and spatial coupling. CoRR Rafah El-Khatib, Jean Barbier, Ayaka Sakata, Rüdiger L. Urbanke
2014	J	`jnl`	Replica Analysis and Approximate Message Passing Decoder for Superposition Codes. CoRR Jean Barbier, Florent Krzakala
2014	B	`conf`	Replica analysis and approximate message passing decoder for superposition codes. ISIT Jean Barbier, Florent Krzakala
2013	J	`jnl`	Compressed sensing and Approximate Message Passing with spatially-coupled Fourier and Hadamard matrices. CoRR Jean Barbier, Florent Krzakala, Christophe Schülke
2013	J	`jnl`	Robust error correction for real-valued signals via message-passing decoding and spatial coupling CoRR Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
2013	B	`conf`	Robust error correction for real-valued signals via message-passing decoding and spatial coupling. ITW Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
2013	J	`jnl`	The hard-core model on random graphs revisited. CoRR Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
2012	J	`jnl`	Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction CoRR Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	—	`conf`	Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction. Allerton Conference Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
1996	A*	`conf`	Serial Fault Emulation. DAC Luc Burgun, Frédéric Reblewski, Gérard Fenelon, Jean Barbier, Olivier Lepape