SAGLIETTI, LUCA

SAGLIETTI, LUCA  

Dipartimento di Scienze della Computazione  

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Risultati 1 - 14 di 14 (tempo di esecuzione: 0.02 secondi).
Titolo Data di pubblicazione Autore(i) Rivista Editore
An Analytical Theory of Curriculum Learning in Teacher-Student Networks 1-gen-2021 Saglietti, Luca; Mannelli Stefano, Sarao; Saxe, Andrew - -
From inverse problems to learning: a statistical mechanics approach 1-gen-2018 Baldassi, Carlo; Gerace, Federica; Saglietti, Luca; Zecchina, Riccardo - Institute of Physics Publishing
From statistical inference to a differential learning rule for stochastic neural networks 1-gen-2018 Saglietti, Luca; Gerace, Federica; Ingrosso, Alessandro; Baldassi, Carlo; Zecchina, Riccardo INTERFACE FOCUS -
Generalized approximate survey propagation for high-dimensional estimation 1-gen-2019 Lucibello, Carlo; Saglietti, Luca; Lu, Yue - (seleziona...)
Large deviations for the perceptron model and consequences for active learning 1-gen-2020 Cui, Hugo; Saglietti, Luca; Zdeborova, Lenka - (seleziona...)
Large deviations in the perceptron model and consequences for active learning 1-gen-2021 Cui, Hugo; Saglietti, Luca; Zdeborovà, Lenka MACHINE LEARNING: SCIENCE AND TECHNOLOGY. -
Large deviations of semisupervised learning in the stochastic block model 1-gen-2022 Cui, Hugo; Saglietti, Luca; Zdeborovà, Lenka PHYSICAL REVIEW. E -
Learning may need only a few bits of synaptic precision 1-gen-2016 Baldassi, Carlo; Gerace, Federica; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo PHYSICAL REVIEW. E -
Local entropy as a measure for sampling solutions in constraint satisfaction problems 1-gen-2016 Baldassi, Carlo; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Probing transfer learning with a model of synthetic correlated datasets 1-gen-2022 Gerace, Federica; Saglietti, Luca; Sarao Mannelli, Stefano; Saxe, Andrew; Zdeborovà, Lenka MACHINE LEARNING: SCIENCE AND TECHNOLOGY. -
Role of synaptic stochasticity in training low-precision neural networks 1-gen-2018 Baldassi, Carlo; Gerace, Federica; Kappen, Hilbert J.; Lucibello, Carlo; Saglietti, Luca; Tartaglione, Enzo; Zecchina, Riccardo PHYSICAL REVIEW LETTERS -
Solvable model for inheriting the regularization through knowledge distillation 1-gen-2021 Saglietti, Luca; Zdeborova, Lenka - (seleziona...)
Subdominant dense clusters allow for simple learning and high computational performance in neural networks with discrete synapses 1-gen-2015 Baldassi, Carlo; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo PHYSICAL REVIEW LETTERS -
Unreasonable effectiveness of learning neural networks: from accessible states and robust ensembles to basic algorithmic schemes 1-gen-2016 Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA -