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Mostrati risultati da 21 a 40 di 40
Titolo Data di pubblicazione Autore(i) Rivista Editore
Efficiency of quantum vs. classical annealing in nonconvex learning problems 1-gen-2018 Baldassi, Carlo; 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
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 -
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 -
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 -
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 -
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 -
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...)
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 -
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 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 -
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 -
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 -
Neural networks: from the perceptron to deep nets 1-gen-2023 Gabrié, Marylou; Ganguli, Surya; Lucibello, Carlo; Zecchina, Riccardo - World Scientific
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 -
Impact of dendritic non-linearities on the computational capabilities of neurons 1-gen-2025 Lauditi, Clarissa; Malatesta, Enrico M.; Pittorino, Fabrizio; Baldassi, Carlo; Brunel, Nicolas; Zecchina, Riccardo PRX LIFE -
Sampling the space of solutions of an artificial neural network 1-gen-2025 Zambon, Alessandro; Malatesta, Enrico M.; Tiana, Guido; Zecchina, Riccardo PHYSICAL REVIEW. E -
Overlap gap and computational thresholds in the square wave perceptron 1-gen-2025 Benedetti, Marco; Bogdanov, Andrej; Malatesta, Enrico M; Mezard, Marc; Perrupato, Gianmarco; Rosen, Alon; Schwartzbach, Nikolaj I; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Dynamical learning in deep asymmetric recurrent neural networks In corso di stampa Badalotti, Davide; Baldassi, Carlo; Mezard, Marc; Scardecchia, Mattia; Zecchina, Riccardo PHYSICAL REVIEW RESEARCH -
Mostrati risultati da 21 a 40 di 40
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