Sarao Mannelli, S.; Gerace, F.; Rostamzadeh, N.; Saglietti, L., Bias-inducing geometries: An exactly solvable data model with fairness implications, «PHYSICAL REVIEW. E», 2025, 112, pp. 1 - 10 [Scientific article]
Szekely, E.; Bardone, L.; Gerace, F.; Goldt, S., Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks, «JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT», 2025, 2025, Article number: 084001 , pp. 1 - 16 [Scientific article]
Ingrosso, A.; Pacelli, R.; Rotondo, P.; Gerace, F., Statistical Mechanics of Transfer Learning in Fully Connected Networks in the Proportional Limit, «PHYSICAL REVIEW LETTERS», 2025, 134, Article number: 177301 , pp. 1 - 9 [Scientific article]
Rende, R.; Gerace, F.; Laio, A.; Goldt, S., A distributional simplicity bias in the learning dynamics of transformers, in: Neural Information Processing Systems, 2024, 37, pp. 1 - 10 (atti di: Neural Information Processing Systems, Vancouver, 10/12/2025) [Contribution to conference proceedings]
Saglietti, L.; Gerace, F.; Ingrosso, A.; Baldassi, C.; Zecchina, R., From statistical inference to a differential learning rule for stochastic neural networks, «INTERFACE FOCUS», 2018, 8, pp. 1 - 9 [Scientific article]
Baldassi, C.; Gerace, F.; Kappen, H. J.; Lucibello, C.; Saglietti, L.; Tartaglione, E.; Zecchina, R., Role of Synaptic Stochasticity in Training Low-Precision Neural Networks, «PHYSICAL REVIEW LETTERS», 2018, 120, Article number: 268103 , pp. 1 - 4 [Scientific article]
