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 | 170 | 2020 |
Gaussian universality of perceptrons with random labels F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová Physical Review E 109 (3), 034305, 2024 | 32* | 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 | 31 | 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 | 26 | 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 | 23 | 2022 |
Mapping of attention mechanisms to a generalized Potts model R Rende, F Gerace, A Laio, S Goldt Physical Review Research 6 (2), 023057, 2024 | 10* | 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 | 6 | 2018 |
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 | 6 | 2018 |
Unfair geometries: exactly solvable data model with fairness implications SS Mannelli, F Gerace, N Rostamzadeh, L Saglietti arXiv preprint arXiv:2205.15935, 2022 | 3* | 2022 |
Signal propagation in continuous approximations of binary neural networks. G Stamatescu, F Gerace, C Lucibello, IG Fuss, LB White CoRR, 2019 | 3* | 2019 |
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks E Székely, L Bardone, F Gerace, S Goldt arXiv preprint arXiv:2312.14922, 2023 | 1 | 2023 |
Optimal transfer protocol by incremental layer defrosting F Gerace, D Doimo, SS Mannelli, L Saglietti, A Laio arXiv preprint arXiv:2303.01429, 2023 | | 2023 |
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 App. 17/615,102, 2022 | | 2022 |
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 |
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 …, 0 | | |