Francesco Camilli

13 papers A* 1Journal 12
YearRankTypeTitle / Venue / Authors
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
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
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance.
CoRR
Jean Barbier, Francesco Camilli, Justin Ko, Koki Okajima
2024 J jnl
The Onset of Parisi's Complexity in a Mismatched Inference Problem.
Entropy
Francesco Camilli, Pierluigi Contucci, Emanuele Mingione
2023 J jnl
Central limit theorem for the overlaps on the Nishimori line.
CoRR
Francesco Camilli, Pierluigi Contucci, Emanuele Mingione
2023 J jnl
Fundamental limits of overparametrized shallow neural networks for supervised learning.
CoRR
Francesco Camilli, Daria Tieplova, Jean Barbier
2023 J jnl
The Decimation Scheme for Symmetric Matrix Factorization.
CoRR
Francesco Camilli, Marc Mézard
2022 J jnl
Bayes-optimal limits in structured PCA, and how to reach them.
CoRR
Jean Barbier, Francesco Camilli, Marco Mondelli, Manuel Sáenz
2022 J jnl
Matrix factorization with neural networks.
CoRR
Francesco Camilli, Marc Mézard