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SAGLIETTI, LUCA

SAGLIETTI, LUCA  

Dipartimento di Scienze della Computazione  

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Risultati 1 - 20 di 21 (tempo di esecuzione: 0.038 secondi).
Titolo Data di pubblicazione Autore(i) Rivista Editore
An analytical theory of curriculum learning in teacher-student networks 1-gen-2022 Saglietti, Luca; Mannelli, Stefano; Saxe, Andrew - (seleziona...)
An Analytical Theory of Curriculum Learning in Teacher-Student Networks 1-gen-2021 Saglietti, Luca; Mannelli Stefano, Sarao; Saxe, Andrew - -
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery 1-gen-2023 Barbier, Damien; Lucibello, Carlo; Saglietti, Luca; Krzakala, Florent; Zdeborová, Lenka - (seleziona...)
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 -
Gaussian Process Prior Variational Autoencoders 1-gen-2018 Casale, Francesco Paolo; Dalca, Adrian; Saglietti, Luca; Listgarten, Jennifer; Fusi, Nicolo - (seleziona...)
Generalized approximate survey propagation for high-dimensional estimation 1-gen-2019 Lucibello, Carlo; Saglietti, Luca; Lu, Yue - (seleziona...)
How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up 1-gen-2024 Gerace, Federica; Doimo, Diego; Sarao Mannelli, Stefano; Saglietti, Luca; Laio, Alessandro TRANSACTIONS ON MACHINE LEARNING RESEARCH -
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...)
Star-shaped space of solutions of the spherical negative perceptron 1-gen-2023 Annesi, Brandon Livio; Lauditi, Clarissa; Lucibello, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Pittorino, Fabrizio; Saglietti, Luca PHYSICAL REVIEW LETTERS -
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 -
The twin peaks of learning neural networks 1-gen-2024 Demyanenko, Elizaveta; Feinauer, Christoph; Malatesta, Enrico M.; Saglietti, Luca MACHINE LEARNING: SCIENCE AND TECHNOLOGY -
Tilting the odds at the lottery: the interplay of overparameterisation and curricula in neural networks 1-gen-2024 Sarao Mannelli, Stefano; Ivashynka, Yaraslau; Saxe, Andrew M.; Saglietti, Luca - (seleziona...)