SAGLIETTI, LUCA
SAGLIETTI, LUCA
Dipartimento di Scienze della Computazione
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
2021 Saglietti, Luca; Mannelli Stefano, Sarao; Saxe, Andrew
From inverse problems to learning: a statistical mechanics approach
2018 Baldassi, Carlo; Gerace, Federica; Saglietti, Luca; Zecchina, Riccardo
From statistical inference to a differential learning rule for stochastic neural networks
2018 Saglietti, Luca; Gerace, Federica; Ingrosso, Alessandro; Baldassi, Carlo; Zecchina, Riccardo
Generalized approximate survey propagation for high-dimensional estimation
2019 Lucibello, Carlo; Saglietti, Luca; Lu, Yue
Large deviations for the perceptron model and consequences for active learning
2020 Cui, Hugo; Saglietti, Luca; Zdeborova, Lenka
Large deviations in the perceptron model and consequences for active learning
2021 Cui, Hugo; Saglietti, Luca; Zdeborovà, Lenka
Large deviations of semisupervised learning in the stochastic block model
2022 Cui, Hugo; Saglietti, Luca; Zdeborovà, Lenka
Learning may need only a few bits of synaptic precision
2016 Baldassi, Carlo; Gerace, Federica; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
Local entropy as a measure for sampling solutions in constraint satisfaction problems
2016 Baldassi, Carlo; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
Probing transfer learning with a model of synthetic correlated datasets
2022 Gerace, Federica; Saglietti, Luca; Sarao Mannelli, Stefano; Saxe, Andrew; Zdeborovà, Lenka
Role of synaptic stochasticity in training low-precision neural networks
2018 Baldassi, Carlo; Gerace, Federica; Kappen, Hilbert J.; Lucibello, Carlo; Saglietti, Luca; Tartaglione, Enzo; Zecchina, Riccardo
Solvable model for inheriting the regularization through knowledge distillation
2021 Saglietti, Luca; Zdeborova, Lenka
Star-shaped space of solutions of the spherical negative perceptron
2023 Annesi, Brandon Livio; Lauditi, Clarissa; Lucibello, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Pittorino, Fabrizio; Saglietti, Luca
Subdominant dense clusters allow for simple learning and high computational performance in neural networks with discrete synapses
2015 Baldassi, Carlo; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
Unreasonable effectiveness of learning neural networks: from accessible states and robust ensembles to basic algorithmic schemes
2016 Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo