BALDASSI, CARLO
BALDASSI, CARLO
Dipartimento di Scienze della Computazione
A behavioral characterization of the Drift Diffusion Model and its multi-alternative extension for choice under time pressure
2020 Baldassi, Carlo; Cerreia Vioglio, Simone; Maccheroni, Fabio; Marinacci, Massimo; Pirazzini, Marco
A Max-Sum algorithm for training discrete neural networks
2015 Baldassi, Carlo; Braunstein, Alfredo
A method to reduce the rejection rate in Monte Carlo Markov chains
2017 Baldassi, Carlo
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
2015 Alemi, Alireza; Baldassi, Carlo; Brunel, Nicolas; Zecchina, Riccardo
Binary synapse circuitry for high efficiency learning algorithm using generalized boundary condition memristor models
2015 Secco, Jacopo; Vinassa, Alessandro; Pontrandolfo, Valentina; Baldassi, Carlo; Corinto, Fernando
Clustering of solutions in the symmetric binary perceptron
2020 Baldassi, Carlo; DELLA VECCHIA, Riccardo; Lucibello, Carlo; 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
Generalization learning in a perceptron with binary synapses
2009 Baldassi, Carlo
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