Publications

Statistical mechanics of extensive-width Bayesian neural networks near interpolation, Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk, (2025), https://doi.org/10.48550/arXiv.2501.18530

See a preview here.

Matrix inference in growing rank regimes, Farzad Pourkamali, Jean Barbier, Nicolas Macris, IEEE Transactions on Information Theory (2024), https://doi.org/10.48550/arXiv.2306.01412

See a talk by Francesco about this work here

Fundamental limits in structured principal component analysis and how to reach them, Jean Barbier, Francesco Camilli, Marco Mondelli, Manuel Sáenz, Proceedings of the National Academy of Sciences (PNAS) 120 (30) e2302028120 (2023), https://doi.org/10.1073/pnas.230202812 

See a talk by Jean on this paper here