Publications

• Fundamental limits of overparametrized shallow neural networks for supervised learning, Francesco Camilli, Daria Tieplova, Jean Barbier, arXiv e-prints (2023) https://doi.org/10.48550/arXiv.2307.05635 

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, PNAS 120 (30) e2302028120 (2023) https://doi.org/10.1073/pnas.230202812 

See a talk by Jean on this paper here

• A multiscale cavity method for sublinear-rank matrix factorixaton, Jean Barbier, Justin Ko, Anas Rahman arXiv e-prints (2024) https://doi.org/10.48550/arXiv.2403.07189