IRIS

Sfoglia per Autore  

Opzioni
Mostrati risultati da 21 a 35 di 35
Titolo Data di pubblicazione Autore(i) Rivista Editore
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 -
Properties of the geometry of solutions and capacity of multilayer neural networks with rectified linear unit activations 1-gen-2019 Baldassi, Carlo; Malatesta, Enrico M.; Zecchina, Riccardo PHYSICAL REVIEW LETTERS -
Entropy-SGD: biasing gradient descent into wide valleys 1-gen-2019 Chaudhari, Pratik; Choromanska, Anna; Soatto, Stefano; Lecun, Yann; Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Sagun, Levent; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Shaping the learning landscape in neural networks around wide flat minima 1-gen-2020 Baldassi, Carlo; Pittorino, Fabrizio; Zecchina, Riccardo PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA -
Clustering of solutions in the symmetric binary perceptron 1-gen-2020 Baldassi, Carlo; DELLA VECCHIA, Riccardo; Lucibello, Carlo; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures 1-gen-2020 Baldassi, Carlo; Malatesta, Enrico M; Negri, Matteo; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Unveiling the Structure of Wide Flat Minima in Neural Networks 1-gen-2021 Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo PHYSICAL REVIEW LETTERS -
Entropic gradient descent algorithms and wide flat minima 1-gen-2021 Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo - (seleziona...)
Entropic gradient descent algorithms and wide flat minima 1-gen-2021 Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry 1-gen-2022 Pittorino, Fabrizio; Ferraro, Antonio; Perugini, Gabriele; Feinauer, Christoph; Baldassi, Carlo; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Learning through atypical phase transitions in overparameterized neural networks 1-gen-2022 Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M; Pacelli, Rosalba; Perugini, Gabriele; Zecchina, Riccardo PHYSICAL REVIEW. E -
Deep learning via message passing algorithms based on belief propagation 1-gen-2022 Lucibello, Carlo; Pittorino, Fabrizio; Perugini, Gabriele; Zecchina, Riccardo MACHINE LEARNING: SCIENCE AND TECHNOLOGY -
Neural networks: from the perceptron to deep nets 1-gen-2023 Gabrié, Marylou; Ganguli, Surya; Lucibello, Carlo; Zecchina, Riccardo - World Scientific
Quantum approximate optimization algorithm applied to the binary perceptron 1-gen-2023 Torta, Pietro; Mbeng, Glen B.; Baldassi, Carlo; Zecchina, Riccardo; Santoro, Giuseppe E. PHYSICAL REVIEW. B -
Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights 1-gen-2023 Baldassi, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo PHYSICAL REVIEW. E -
Mostrati risultati da 21 a 35 di 35
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile