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Mostrati risultati da 1 a 20 di 35
Titolo Data di pubblicazione Autore(i) Rivista Editore
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 -
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
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
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons 1-gen-2013 Baldassi, Carlo; Alemi Neissi, Alireza; Pagan, Marino; Dicarlo, James J.; Zecchina, Riccardo; Zoccolan, Davide PLOS COMPUTATIONAL BIOLOGY -
Theory and learning protocols for the material tempotron model 1-gen-2013 Baldassi, Carlo; Braunstein, Alfredo; Zecchina, Riccardo JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT -
Input-driven unsupervised learning in recurrent neural networks 1-gen-2014 Alireza Alemi, Neissi; Baldassi, Carlo; Nicolas, Brunel; Zecchina, Riccardo - COSYNE
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 -
Sharing information to reconstruct patient-specific pathways in heterogeneous diseases 1-gen-2014 Gitter, Anthony; Braunstein, Alfredo; Pagnani, Andrea; Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Zecchina, Riccardo; Fraenkel, Ernest - World Scientific Pub. Co.
Statistical physics and network optimization problems 1-gen-2015 Baldassi, Carlo; Braunstein, Alfredo; Ramezanpour, Abolfazl; Zecchina, Riccardo - Springer International Publishing
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 -
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 -
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 -
RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells 1-gen-2017 Bosia, Carla; Conti, Francesco; Sgrò, Laura; Baldassi, Carlo; Brusa, Davide; Cavallo, Federica; Di Cunto, Ferdinando; Turco, Emilia; Pagnani, Andrea; Zecchina, Riccardo GENOME BIOLOGY -
Inverse statistical problems: from the inverse Ising problem to data science 1-gen-2017 Nguyen, H. Chau; Zecchina, Riccardo; Berg, Johannes ADVANCES IN PHYSICS -
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 -
From inverse problems to learning: a statistical mechanics approach 1-gen-2018 Baldassi, Carlo; Gerace, Federica; Saglietti, Luca; Zecchina, Riccardo - Institute of Physics Publishing
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 -
Mostrati risultati da 1 a 20 di 35
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