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Rosalba Pacelli
Rosalba Pacelli
Università degli studi di Padova
Verified email at pd.infn.it
Title
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Year
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
32*2023
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
272022
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
72023
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
32022
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, ...
Physical Review Letters 133 (2), 027301, 2024
22024
Statistical mechanics of transfer learning in fully-connected networks in the proportional limit
A Ingrosso, R Pacelli, P Rotondo, F Gerace
arXiv preprint arXiv:2407.07168, 2024
2024
A data-agnostic statistical mechanics approach for studying deep neural networks beyond the infinite-width limit
R Pacelli
Politecnico di Torino, 2024
2024
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