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Federica Gerace
Tytuł
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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
1982020
Gaussian universality of perceptrons with random labels
F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová
Physical Review E 109 (3), 034305, 2024
44*2024
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
382016
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
362022
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
272018
Mapping of attention mechanisms to a generalized Potts model
R Rende, F Gerace, A Laio, S Goldt
Physical Review Research 6 (2), 023057, 2024
25*2024
Bias-inducing geometries: exactly solvable data model with fairness implications
SS Mannelli, F Gerace, N Rostamzadeh, L Saglietti
ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024
7*2024
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
72018
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
72018
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
52024
A distributional simplicity bias in the learning dynamics of transformers
R Rende, F Gerace, A Laio, S Goldt
arXiv preprint arXiv:2410.19637, 2024
32024
Signal propagation in continuous approximations of binary neural networks
G Stamatescu, F Gerace, C Lucibello, IG Fuss, LB White
CoRR, 2019
3*2019
How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up
F Gerace, D Doimo, S Sarao Mannelli, L Saglietti, A Laio
Transactions on Machine Learning Research, ---, 2024
1*2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
E Szekely, L Bardone, F Gerace, S Goldt
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
1*
Computer based method for classifying a mass of an organ as a cyst
E Vezzetti, F Marcolin, A Froio, F Gerace, L Bonacina, D Conti, A Cesari, ...
US Patent 12,089,987, 2024
2024
A computer based method for classifying a mass of an organ as a cyst
A Froio, L Bonacina, D Conti, F Marcolin, E Vezzetti, F Gerace, RB Marotti, ...
ITA, 2019
2019
Statistical physics of neural systems.
F Gerace
Polytechnic University of Turin, Italy, 2018
2018
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