Gerace, Federica

6 publications

NeurIPS 2024 A Distributional Simplicity Bias in the Learning Dynamics of Transformers Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt

ICMLW 2024 Bias-Inducing Geometries: Exactly Solvable Data Model with Fairness Implications Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti

TMLR 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

NeurIPS 2024 Learning from Higher-Order Correlations, Efficiently: Hypothesis Tests, Random Features, and Neural Networks Eszter Székely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt

ICLR 2020 Critical Initialisation in Continuous Approximations of Binary Neural Networks George Stamatescu, Federica Gerace, Carlo Lucibello, Ian Fuss, Langford B. White

ICML 2020 Generalisation Error in Learning with Random Features and the Hidden Manifold Model Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mezard, Lenka Zdeborova