Jean Barbier

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 72

Top Venues

CoRR

ISIT

NeurIPS

IEEE Trans. Inf. Theory

Paris Diderot University, France (PHD)

Education History

Paris Diderot University, France

PHD

Publications

Jean Barbier, Justin Ko, Anas A. Rahman
A multiscale cavity method for sublinear-rank symmetric matrix factorization. CoRR (2024)
Jean Barbier, Francesco Camilli, Marco Mondelli, Yizhou Xu
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise. CoRR (2024)
Francesco Camilli, Daria Tieplova, Jean Barbier
Fundamental limits of overparametrized shallow neural networks for supervised learning. CoRR (2023)
Farzad Pourkamali, Jean Barbier, Nicolas Macris
Matrix Inference in Growing Rank Regimes. CoRR (2023)
Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bai, Jean Barbier, TianQi Hou
Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing. ISIT (2023)
Teng Fu, Yuhao Liu, Jean Barbier, Marco Mondelli, Shansuo Liang, TianQi Hou
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. CoRR (2023)
Teng Fu, Yuhao Liu, Jean Barbier, Marco Mondelli, Shansuo Liang, TianQi Hou
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. ISIT (2023)
Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bob Bai, Jean Barbier, TianQi Hou
Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing. CoRR (2023)
Jean Barbier, Francesco Camilli, Marco Mondelli, Manuel Sáenz
Bayes-optimal limits in structured PCA, and how to reach them. CoRR (2022)
Tianqi Hou, Yuhao Liu, Teng Fu, Jean Barbier
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices. ISIT (2022)
Erik Aurell, Jean Barbier, Aurélien Decelle, Roberto Mulet
The mighty force: statistical inference and high-dimensional statistics. CoRR (2022)
Yuhao Liu, Teng Fu, Jean Barbier, Tianqi Hou
Sparse superposition codes with rotational invariant coding matrices for memoryless channels. ITW (2022)
Tianqi Hou, Yuhao Liu, Teng Fu, Jean Barbier
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices. CoRR (2022)
Jean Barbier, Tianqi Hou, Marco Mondelli, Manuel Sáenz
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? CoRR (2022)
Jean Barbier, TianQi Hou, Marco Mondelli, Manuel Sáenz
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NeurIPS (2022)
Yuhao Liu, Teng Fu, Jean Barbier, Tianqi Hou
Sparse superposition codes with rotational invariant coding matrices for memoryless channels. CoRR (2022)
Jean Barbier, Nicolas Macris
Statistical limits of dictionary learning: random matrix theory and the spectral replica method. CoRR (2021)
Jean Barbier, Chun Lam Chan, Nicolas Macris
Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model. IEEE Trans. Inf. Theory 67 (4) (2021)
Jean Barbier, Wei-Kuo Chen, Dmitry Panchenko, Manuel Sáenz
Performance of Bayesian linear regression in a model with mismatch. CoRR (2021)
Jean Barbier, Nicolas Macris, Mohamad Dia, Florent Krzakala
Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation. IEEE Trans. Inf. Theory 66 (7) (2020)
Clément Luneau, Jean Barbier, Nicolas Macris
Information theoretic limits of learning a sparse rule. NeurIPS (2020)
Jean Barbier
High-dimensional inference: a statistical mechanics perspective. CoRR (2020)
Clément Luneau, Nicolas Macris, Jean Barbier
High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case. ISIT (2020)
Clément Luneau, Jean Barbier, Nicolas Macris
Information theoretic limits of learning a sparse rule. CoRR (2020)
Jean Barbier, Nicolas Macris, Cynthia Rush
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation. NeurIPS (2020)
Jean Barbier, Nicolas Macris, Cynthia Rush
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation. CoRR (2020)
Clément Luneau, Nicolas Macris, Jean Barbier
High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case. CoRR (2020)
Jean Barbier, Galen Reeves
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. CoRR (2020)
Jean Barbier, Dmitry Panchenko, Manuel Sáenz
Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures. CoRR (2020)
Jean Barbier, Dmitry Panchenko
Strong replica symmetry in high-dimensional optimal Bayesian inference. CoRR (2020)
Jean Barbier, Galen Reeves
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. ISIT (2020)
Jean Barbier
Overlap matrix concentration in optimal Bayesian inference. CoRR (2019)
Jean Barbier, Chun Lam Chan, Nicolas Macris
Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method. CoRR (2019)
Jean Barbier, Clément Luneau, Nicolas Macris
Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization. ITW (2019)
Jean Barbier, Mohamad Dia, Nicolas Macris
Universal Sparse Superposition Codes With Spatial Coupling and GAMP Decoding. IEEE Trans. Inf. Theory 65 (9) (2019)
Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
Blind calibration for compressed sensing: State evolution and an online algorithm. CoRR (2019)
Jean Barbier, Nicolas Macris
The adaptive interpolation method for proving replica formulas. Applications to the Curie-Weiss and Wigner spike models. CoRR (2019)
Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
Blind Calibration for Sparse Regression: A State Evolution Analysis. CAMSAP (2019)
Jean Barbier
Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference. CoRR (2019)
Jean Barbier, Clément Luneau, Nicolas Macris
Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization. CoRR (2019)
Jean Barbier
Concentration of the Matrix-Valued Minimum Mean-Square Error in Optimal Bayesian Inference. CAMSAP (2019)
Jean Barbier, Nicolas Macris
0-1 phase transitions in sparse spiked matrix estimation. CoRR (2019)
Jean Barbier, Chun Lam Chan, Nicolas Macris
Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method. ISIT (2019)
Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method. CoRR (2018)
Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
Entropy and mutual information in models of deep neural networks. NeurIPS (2018)
Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
Entropy and mutual information in models of deep neural networks. CoRR (2018)
Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
The committee machine: Computational to statistical gaps in learning a two-layers neural network. CoRR (2018)
Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala
The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. ISIT (2018)
Jean Barbier, Chun Lam Chan, Nicolas Macris
Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model. CoRR (2018)
Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. COLT (2018)
Jean Barbier, Chun Lam Chan, Nicolas Macris
Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model. ISIT (2018)
Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
The committee machine: Computational to statistical gaps in learning a two-layers neural network. NeurIPS (2018)
Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala
The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. CoRR (2018)
Erdem Biyik, Jean Barbier, Mohamad Dia
Generalized Approximate Message-Passing Decoder for Universal Sparse Superposition Codes. CoRR (2017)
Jean Barbier, Nicolas Macris
I-MMSE relations in random linear estimation and a sub-extensive interpolation method. CoRR (2017)
Jean Barbier, Nicolas Macris, Léo Miolane
The layered structure of tensor estimation and its mutual information. Allerton (2017)
Jean Barbier, Mohamad Dia, Nicolas Macris
Universal Sparse Superposition Codes with Spatial Coupling and GAMP Decoding. CoRR (2017)
Erdem Biyik, Jean Barbier, Mohamad Dia
Generalized approximate message-passing decoder for universal sparse superposition codes. ISIT (2017)
Jean Barbier, Nicolas Macris, Mohamad Dia, Florent Krzakala
Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation. CoRR (2017)
Jean Barbier, Nicolas Macris, Léo Miolane
The Layered Structure of Tensor Estimation and its Mutual Information. CoRR (2017)
Jean Barbier, Nicolas Macris
I-MMSE relations in random linear estimation and a sub-extensive interpolation method. ISIT (2017)
Jean Barbier, Florent Krzakala
Approximate Message-Passing Decoder and Capacity Achieving Sparse Superposition Codes. IEEE Trans. Inf. Theory 63 (8) (2017)
Jean Barbier, Nicolas Macris
The stochastic interpolation method: A simple scheme to prove replica formulas in Bayesian inference. CoRR (2017)
Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. CoRR (2017)
Jean Barbier, Mohamad Dia, Nicolas Macris
Proof of threshold saturation for spatially coupled sparse superposition codes. ISIT (2016)
Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala
The Mutual Information in Random Linear Estimation. CoRR (2016)
Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. NIPS (2016)
Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. CoRR (2016)
Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala
The mutual information in random linear estimation. Allerton (2016)
Jean Barbier, Mohamad Dia, Nicolas Macris
Proof of Threshold Saturation for Spatially Coupled Sparse Superposition Codes. CoRR (2016)
Jean Barbier, Mohamad Dia, Nicolas Macris
Threshold saturation of spatially coupled sparse superposition codes for all memoryless channels. ITW (2016)
Jean Barbier, Mohamad Dia, Nicolas Macris
Threshold Saturation of Spatially Coupled Sparse Superposition Codes for All Memoryless Channels. CoRR (2016)
Jean Barbier, Eric W. Tramel, Florent Krzakala
Scampi: a robust approximate message-passing framework for compressive imaging. CoRR (2015)
Jean Barbier, Florent Krzakala
Approximate message-passing decoder and capacity-achieving sparse superposition codes. CoRR (2015)
Jean Barbier
Statistical physics and approximate message-passing algorithms for sparse linear estimation problems in signal processing and coding theory. CoRR (2015)
Jean Barbier, Florent Krzakala
Replica Analysis and Approximate Message Passing Decoder for Superposition Codes. CoRR (2014)
Jean Barbier, Florent Krzakala
Replica analysis and approximate message passing decoder for superposition codes. ISIT (2014)
Rafah El-Khatib, Jean Barbier, Ayaka Sakata, Rüdiger L. Urbanke
Error correcting codes and spatial coupling. CoRR (2014)
Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
The hard-core model on random graphs revisited. CoRR (2013)
Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
Robust error correction for real-valued signals via message-passing decoding and spatial coupling CoRR (2013)
Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
Robust error correction for real-valued signals via message-passing decoding and spatial coupling. ITW (2013)
Jean Barbier, Florent Krzakala, Christophe Schülke
Compressed sensing and Approximate Message Passing with spatially-coupled Fourier and Hadamard matrices. CoRR (2013)
Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction CoRR (2012)
Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction. Allerton Conference (2012)
Luc Burgun, Frédéric Reblewski, Gérard Fenelon, Jean Barbier, Olivier Lepape
Serial Fault Emulation. DAC (1996)

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Publication Activity (10 Years)

Top Topics

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Jean Barbier