Sfoglia per Autore
A method to reduce the rejection rate in Monte Carlo Markov chains
2017 Baldassi, Carlo
From statistical inference to a differential learning rule for stochastic neural networks
2018 Saglietti, Luca; Gerace, Federica; Ingrosso, Alessandro; Baldassi, Carlo; Zecchina, Riccardo
From inverse problems to learning: a statistical mechanics approach
2018 Baldassi, Carlo; Gerace, Federica; Saglietti, Luca; Zecchina, Riccardo
Role of synaptic stochasticity in training low-precision neural networks
2018 Baldassi, Carlo; Gerace, Federica; Kappen, Hilbert J.; Lucibello, Carlo; Saglietti, Luca; Tartaglione, Enzo; Zecchina, Riccardo
Efficiency of quantum vs. classical annealing in nonconvex learning problems
2018 Baldassi, Carlo; Zecchina, Riccardo
Properties of the geometry of solutions and capacity of multilayer neural networks with rectified linear unit activations
2019 Baldassi, Carlo; Malatesta, Enrico M.; 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
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures
2020 Baldassi, Carlo; Malatesta, Enrico M; Negri, Matteo; Zecchina, Riccardo
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
Shaping the learning landscape in neural networks around wide flat minima
2020 Baldassi, Carlo; Pittorino, Fabrizio; Zecchina, Riccardo
Predicting interacting protein pairs by coevolutionary paralog matching
2020 Gueudré, Thomas; Baldassi, Carlo; Pagnani, Andrea; Weigt, Martin
Clustering of solutions in the symmetric binary perceptron
2020 Baldassi, Carlo; DELLA VECCHIA, Riccardo; Lucibello, Carlo; 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
Unveiling the Structure of Wide Flat Minima in Neural Networks
2021 Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo
Recombinator-k-means: an evolutionary algorithm that exploits k-means++ for recombination
2022 Baldassi, Carlo
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
Learning through atypical phase transitions in overparameterized neural networks
2022 Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M; Pacelli, Rosalba; Perugini, Gabriele; Zecchina, Riccardo
Systematically and efficiently improving k-means initialization by pairwise-nearest-neighbor smoothing
2023 Baldassi, Carlo
Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights
2023 Baldassi, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo
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