ZECCHINA, RICCARDO
ZECCHINA, RICCARDO
Dipartimento di Scienze della Computazione
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
2015 Alemi, Alireza; Baldassi, Carlo; Brunel, Nicolas; Zecchina, Riccardo
Clustering of solutions in the symmetric binary perceptron
2020 Baldassi, Carlo; DELLA VECCHIA, Riccardo; Lucibello, Carlo; Zecchina, Riccardo
Deep learning via message passing algorithms based on belief propagation
2022 Lucibello, Carlo; Pittorino, Fabrizio; Perugini, Gabriele; Zecchina, Riccardo
Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry
2022 Pittorino, Fabrizio; Ferraro, Antonio; Perugini, Gabriele; Feinauer, Christoph; Baldassi, Carlo; Zecchina, Riccardo
Efficiency of quantum vs. classical annealing in nonconvex learning problems
2018 Baldassi, Carlo; Zecchina, Riccardo
Efficient supervised learning in networks with binary synapses
2007 Baldassi, Carlo; Braunstein, Alfredo; Brunel, Nicolas; Zecchina, Riccardo
Efficient supervised learning in networks with binary synapses
2007 Baldassi, Carlo; Braunstein, Alfredo; Brunel, Nicolas; Zecchina, Riccardo
Entropic gradient descent algorithms and wide flat minima
2021 Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo
Entropic gradient descent algorithms and wide flat minima
2021 Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo
Entropy-SGD: biasing gradient descent into wide valleys
2019 Chaudhari, Pratik; Choromanska, Anna; Soatto, Stefano; Lecun, Yann; Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Sagun, Levent; Zecchina, Riccardo
Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners
2014 Baldassi, Carlo; Zamparo, Marco; Feinauer, Christoph; Procaccini, Andrea; Zecchina, Riccardo; Weigt, Martin; Pagnani, Andrea
From inverse problems to learning: a statistical mechanics approach
2018 Baldassi, Carlo; Gerace, Federica; Saglietti, Luca; Zecchina, Riccardo
From luminance to semantics: how natural objects are represented in monkey inferotemporal cortex.
2011 Marino, Pagan; Alireza Alemi, Neissi; Baldassi, Carlo; Zecchina, Riccardo; James, Dicarlo; Davide, Zoccolan
From statistical inference to a differential learning rule for stochastic neural networks
2018 Saglietti, Luca; Gerace, Federica; Ingrosso, Alessandro; Baldassi, Carlo; Zecchina, Riccardo
Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition
2012 Alireza Alemi, Neissi; Baldassi, Carlo; Alfredo, Braunstein; Andrea, Pagnani; Zecchina, Riccardo; Davide, Zoccolan
Input-driven unsupervised learning in recurrent neural networks
2014 Alireza Alemi, Neissi; Baldassi, Carlo; Nicolas, Brunel; Zecchina, Riccardo
Inverse statistical problems: from the inverse Ising problem to data science
2017 Nguyen, H. Chau; Zecchina, Riccardo; Berg, Johannes
Learning may need only a few bits of synaptic precision
2016 Baldassi, Carlo; Gerace, Federica; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
Learning through atypical phase transitions in overparameterized neural networks
2022 Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M; Pacelli, Rosalba; Perugini, Gabriele; 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
| 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 | 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 |
| 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 | - |