ZECCHINA, RICCARDO

ZECCHINA, RICCARDO  

Dipartimento di Scienze della Computazione  

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Risultati 1 - 20 di 35 (tempo di esecuzione: 0.033 secondi).
Titolo Data di pubblicazione Autore(i) Rivista Editore
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks 1-gen-2015 Alemi, Alireza; Baldassi, Carlo; Brunel, Nicolas; Zecchina, Riccardo PLOS COMPUTATIONAL BIOLOGY -
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 -
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 -
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 -
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 -
Efficient supervised learning in networks with binary synapses 1-gen-2007 Baldassi, Carlo; Braunstein, Alfredo; Brunel, Nicolas; Zecchina, Riccardo - NATL ACAD SCIENCES
Efficient supervised learning in networks with binary synapses 1-gen-2007 Baldassi, Carlo; Braunstein, Alfredo; Brunel, Nicolas; 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...)
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 -
Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners 1-gen-2014 Baldassi, Carlo; Zamparo, Marco; Feinauer, Christoph; Procaccini, Andrea; Zecchina, Riccardo; Weigt, Martin; Pagnani, Andrea PLOS ONE -
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 luminance to semantics: how natural objects are represented in monkey inferotemporal cortex. 1-gen-2011 Marino, Pagan; Alireza Alemi, Neissi; Baldassi, Carlo; Zecchina, Riccardo; James, Dicarlo; Davide, Zoccolan - COSYNE
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 -
Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition 1-gen-2012 Alireza Alemi, Neissi; Baldassi, Carlo; Alfredo, Braunstein; Andrea, Pagnani; Zecchina, Riccardo; Davide, Zoccolan BMC NEUROSCIENCE BioMed Central Ltd
Input-driven unsupervised learning in recurrent neural networks 1-gen-2014 Alireza Alemi, Neissi; Baldassi, Carlo; Nicolas, Brunel; Zecchina, Riccardo - COSYNE
Inverse statistical problems: from the inverse Ising problem to data science 1-gen-2017 Nguyen, H. Chau; Zecchina, Riccardo; Berg, Johannes ADVANCES IN PHYSICS -
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 -
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 -
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 -