On the role of synaptic stochasticity in training low-precision neural networks. - Carlo Baldassi; Federica Gerace; Hilbert J. Kappen; Carlo Lucibello; Luca Saglietti; Enzo Tartaglione; Riccardo Zecchina (CoRR, 2017)

Statistical physics of neural systems. - Federica Gerace (2018)

Signal propagation in continuous approximations of binary neural networks. - George Stamatescu; Federica Gerace; Carlo Lucibello; Ian G. Fuss; Langford B. White (CoRR, 2019)

Critical initialisation in continuous approximations of binary neural networks. - George Stamatescu; Federica Gerace; Carlo Lucibello; Ian G. Fuss; Langford B. White (ICLR, 2020)

Generalisation error in learning with random features and the hidden manifold model. - Federica Gerace; Bruno Loureiro; Florent Krzakala; Marc Mézard; Lenka Zdeborová (ICML, 2020)

Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension. - Federica Gerace; Florent Krzakala; Bruno Loureiro; Ludovic Stephan; Lenka Zdeborová (CoRR, 2022)

Inducing bias is simpler than you think. - Stefano Sarao Mannelli; Federica Gerace; Negar Rostamzadeh; Luca Saglietti (CoRR, 2022)

Probing transfer learning with a model of synthetic correlated datasets. - Federica Gerace; Luca Saglietti; Stefano Sarao Mannelli; Andrew M. Saxe; Lenka Zdeborová (Mach. Learn. Sci. Technol., 2022)

Optimal transfer protocol by incremental layer defrosting. - Federica Gerace; Diego Doimo; Stefano Sarao Mannelli; Luca Saglietti; Alessandro Laio (CoRR, 2023)

Optimal inference of a generalised Potts model by single-layer transformers with factored attention. - Riccardo Rende; Federica Gerace; Alessandro Laio; Sebastian Goldt (CoRR, 2023)

Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks. - Eszter Székely; Lorenzo Bardone; Federica Gerace; Sebastian Goldt (CoRR, 2023)

A distributional simplicity bias in the learning dynamics of transformers. - Riccardo Rende; Federica Gerace; Alessandro Laio; Sebastian Goldt (NeurIPS, 2024)

Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks. - Eszter Székely; Lorenzo Bardone; Federica Gerace; Sebastian Goldt (NeurIPS, 2024)

How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up. - Federica Gerace; Diego Doimo; Stefano Sarao Mannelli; Luca Saglietti; Alessandro Laio (Trans. Mach. Learn. Res., 2024)

Generalization performance of narrow one-hidden layer networks in the teacher-student setting. - Jean Barbier; Federica Gerace; Alessandro Ingrosso; Clarissa Lauditi; Enrico M. Malatesta; Gibbs Nwemadji; Rodrigo Pérez Ortiz (CoRR, 2025)