Mauro Pastore

According to our database, Mauro Pastore authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation.

Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk

CoRR, October, 2025

Statistical mechanics of extensive-width Bayesian neural networks near interpolation.

Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk

CoRR, May, 2025

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation.

Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk

CoRR, January, 2025

Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers.

Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo

J. Mach. Learn. Res., 2025

2024

Random features and polynomial rules.

Fabián Aguirre-López, Silvio Franz, Mauro Pastore

CoRR, 2024

Restoring balance: principled under/oversampling of data for optimal classification.

Emanuele Loffredo, Mauro Pastore, Simona Cocco, Rémi Monasson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit.

Rosalba Pacelli, Sebastiano Ariosto, Mauro Pastore, Francesco Ginelli, Marco Gherardi, Pietro Rotondo

Nat. Mac. Intell., December, 2023

2020

Beyond the storage capacity: data driven satisfiability transition.

Pietro Rotondo, Mauro Pastore, Marco Gherardi

CoRR, 2020