Federica Gerace
Federica Gerace
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Generalisation error in learning with random features and the hidden manifold model
F Gerace, B Loureiro, F Krzakala, M Mézard, L Zdeborová
International Conference on Machine Learning, 3452-3462, 2020
Learning may need only a few bits of synaptic precision
C Baldassi, F Gerace, C Lucibello, L Saglietti, R Zecchina
Physical Review E 93 (5), 052313, 2016
Role of synaptic stochasticity in training low-precision neural networks
C Baldassi, F Gerace, HJ Kappen, C Lucibello, L Saglietti, E Tartaglione, ...
Physical review letters 120 (26), 268103, 2018
From statistical inference to a differential learning rule for stochastic neural networks
L Saglietti, F Gerace, A Ingrosso, C Baldassi, R Zecchina
Interface focus 8 (6), 20180033, 2018
Probing transfer learning with a model of synthetic correlated datasets
F Gerace, L Saglietti, SS Mannelli, A Saxe, L Zdeborová
Machine Learning: Science and Technology 3 (1), 015030, 2022
From inverse problems to learning: a statistical mechanics approach
C Baldassi, F Gerace, L Saglietti, R Zecchina
Journal of Physics: Conference Series 955 (1), 012001, 2018
Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension
F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová
arXiv preprint arXiv:2205.13303, 2022
Critical initialisation in continuous approximations of binary neural networks
G Stamatescu, F Gerace, C Lucibello, I Fuss, LB White
arXiv preprint arXiv:1902.00177, 2019
Inducing bias is simpler than you think
SS Mannelli, F Gerace, N Rostamzadeh, L Saglietti
arXiv preprint arXiv:2205.15935, 2022
Statistical Physics of Neural Systems
F Gerace
Signal propagation in continuous approximations of binary neural networks.
G Stamatescu, F Gerace, C Lucibello, IG Fuss, LB White
CoRR, 2019
Group ID U13825
F Behrens, LA Clarte, I Coke, HC Cui, F Gerace, G Piccioli, L Saglietti, ...
Group ID U13823
F Behrens, LA Clarte, I Coke, HC Cui, F Gerace, G Piccioli, L Saglietti, ...
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Artículos 1–13