Sfoglia per Autore 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
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
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
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
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
Gaussian Process Prior Variational Autoencoders
2018 Casale, Francesco Paolo; Dalca, Adrian; Saglietti, Luca; Listgarten, Jennifer; Fusi, Nicolo
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
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
2021 Saglietti, Luca; Mannelli Stefano, Sarao; Saxe, Andrew
Solvable model for inheriting the regularization through knowledge distillation
2021 Saglietti, Luca; Zdeborova, Lenka
Large deviations in the perceptron model and consequences for active learning
2021 Cui, Hugo; Saglietti, Luca; Zdeborovà, Lenka
An analytical theory of curriculum learning in teacher-student networks
2022 Saglietti, Luca; Mannelli, Stefano; Saxe, Andrew
Probing transfer learning with a model of synthetic correlated datasets
2022 Gerace, Federica; Saglietti, Luca; Sarao Mannelli, Stefano; Saxe, Andrew; Zdeborovà, Lenka
Large deviations of semisupervised learning in the stochastic block model
2022 Cui, Hugo; Saglietti, Luca; Zdeborovà, 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
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery
2023 Barbier, Damien; Lucibello, Carlo; Saglietti, Luca; Krzakala, Florent; Zdeborová, Lenka
Tilting the odds at the lottery: the interplay of overparameterisation and curricula in neural networks
2024 Sarao Mannelli, Stefano; Ivashynka, Yaraslau; Saxe, Andrew M.; Saglietti, Luca
The twin peaks of learning neural networks
2024 Demyanenko, Elizaveta; Feinauer, Christoph; Malatesta, Enrico M.; Saglietti, Luca
Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
---|---|---|---|---|
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 | - |
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 | - |
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 | - |
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 | - |
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 | - |
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...) |
Large deviations for the perceptron model and consequences for active learning | 1-gen-2020 | Cui, Hugo; Saglietti, Luca; Zdeborova, Lenka | - | (seleziona...) |
An Analytical Theory of Curriculum Learning in Teacher-Student Networks | 1-gen-2021 | Saglietti, Luca; Mannelli Stefano, Sarao; Saxe, Andrew | - | - |
Solvable model for inheriting the regularization through knowledge distillation | 1-gen-2021 | 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. | - |
An analytical theory of curriculum learning in teacher-student networks | 1-gen-2022 | Saglietti, Luca; Mannelli, Stefano; Saxe, Andrew | - | (seleziona...) |
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. | - |
Large deviations of semisupervised learning in the stochastic block model | 1-gen-2022 | Cui, Hugo; Saglietti, Luca; Zdeborovà, Lenka | PHYSICAL REVIEW. E | - |
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 | - |
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...) |
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...) |
The twin peaks of learning neural networks | 1-gen-2024 | Demyanenko, Elizaveta; Feinauer, Christoph; Malatesta, Enrico M.; Saglietti, Luca | MACHINE LEARNING: SCIENCE AND TECHNOLOGY | - |
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