Rosalba Pacelli
Rosalba Pacelli
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Learning through atypical phase transitions in overparameterized neural networks
C Baldassi, C Lauditi, EM Malatesta, R Pacelli, G Perugini, R Zecchina
Physical Review E 106 (1), 014116, 2022
Statistical mechanics of deep learning beyond the infinite-width limit
S Ariosto, R Pacelli, M Pastore, F Ginelli, M Gherardi, P Rotondo
arXiv preprint arXiv:2209.04882, 2022
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
R Pacelli, S Ariosto, M Pastore, F Ginelli, M Gherardi, P Rotondo
Nature Machine Intelligence 5 (12), 1497-1507, 2023
Universal mean-field upper bound for the generalization gap of deep neural networks
S Ariosto, R Pacelli, F Ginelli, M Gherardi, P Rotondo
Physical Review E 105 (6), 064309, 2022
Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks
R Aiudi, R Pacelli, A Vezzani, R Burioni, P Rotondo
arXiv preprint arXiv:2307.11807, 2023
Predictive power of a Bayesian effective action for fully-connected one hidden layer neural networks in the proportional limit
P Baglioni, R Pacelli, R Aiudi, F Di Renzo, A Vezzani, R Burioni, ...
arXiv preprint arXiv:2401.11004, 2024
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