GERACE, FEDERICA

GERACE, FEDERICA  

MAT - DIPARTIMENTO DI MATEMATICA  

Ricercatori a tempo determinato  

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Titolo Autore(i) Anno Periodico Editore Tipo File
Bias-inducing geometries: An exactly solvable data model with fairness implications Sarao Mannelli, S.; Gerace, F.; Rostamzadeh, N.; Saglietti, L. 2025-01-01 PHYSICAL REVIEW. E - 1.01 Articolo in rivista -
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks Szekely, E.; Bardone, L.; Gerace, F.; Goldt, S. 2025-01-01 JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT - 1.01 Articolo in rivista -
Statistical Mechanics of Transfer Learning in Fully Connected Networks in the Proportional Limit Ingrosso, A.; Pacelli, R.; Rotondo, P.; Gerace, F. 2025-01-01 PHYSICAL REVIEW LETTERS - 1.01 Articolo in rivista -
A distributional simplicity bias in the learning dynamics of transformers Rende, R.; Gerace, F.; Laio, A.; Goldt, S. 2024-01-01 - - 4.01 Contributo in Atti di convegno -
Gaussian universality of perceptrons with random labels Gerace, Federica; Krzakala, Florent; Loureiro, Bruno; Stephan, Ludovic; Zdeborová, Lenka 2024-01-01 PHYSICAL REVIEW. E - 1.01 Articolo in rivista PhysRevE.109.034305.pdf
Mapping of attention mechanisms to a generalized Potts model Rende, Riccardo; Gerace, Federica; Laio, Alessandro; Goldt, Sebastian 2024-01-01 PHYSICAL REVIEW RESEARCH - 1.01 Articolo in rivista PhysRevResearch.6.023057.pdf
Probing transfer learning with a model of synthetic correlated datasets Gerace, Federica; Saglietti, Luca; Sarao Mannelli, Stefano; Saxe, Andrew; Zdeborová, Lenka 2022-01-01 MACHINE LEARNING: SCIENCE AND TECHNOLOGY - 1.01 Articolo in rivista Gerace_2022_Mach._Learn. _Sci._Technol._3_015030.pdf
Generalisation error in learning with random features and the hidden manifold model Gerace, Federica; Loureiro, Bruno; Krzakala, Florent; Mézard, Marc; Zdeborová, Lenka 2021-01-01 JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT - 1.01 Articolo in rivista 2002.09339v2.pdf
From statistical inference to a differential learning rule for stochastic neural networks Saglietti, L.; Gerace, F.; Ingrosso, A.; Baldassi, C.; Zecchina, R. 2018-01-01 INTERFACE FOCUS - 1.01 Articolo in rivista -
Role of Synaptic Stochasticity in Training Low-Precision Neural Networks Baldassi, C.; Gerace, F.; Kappen, H. J.; Lucibello, C.; Saglietti, L.; Tartaglione, E.; Zecchina, R. 2018-01-01 PHYSICAL REVIEW LETTERS - 1.01 Articolo in rivista -