Federica Gerace

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Topics

Transfer Learning

Top Venues

Mach. Learn. Sci. Technol.

Publications

Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio
Optimal transfer protocol by incremental layer defrosting. CoRR (2023)
Eszter Székely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks. CoRR (2023)
Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt
Optimal inference of a generalised Potts model by single-layer transformers with factored attention. CoRR (2023)
Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová
Probing transfer learning with a model of synthetic correlated datasets. Mach. Learn. Sci. Technol. 3 (1) (2022)
Federica Gerace, Florent Krzakala, Bruno Loureiro, Ludovic Stephan, Lenka Zdeborová
Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension. CoRR (2022)
Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti
Inducing bias is simpler than you think. CoRR (2022)
Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová
Probing transfer learning with a model of synthetic correlated datasets. CoRR (2021)
George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White
Critical initialisation in continuous approximations of binary neural networks. ICLR (2020)
Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Generalisation error in learning with random features and the hidden manifold model. ICML (2020)
Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Generalisation error in learning with random features and the hidden manifold model. CoRR (2020)
George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White
Signal propagation in continuous approximations of binary neural networks. CoRR (2019)
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
On the role of synaptic stochasticity in training low-precision neural networks. CoRR (2017)