Publications by authors named "Carlo Baldassi"

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Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights.
Carlo Baldassi, Enrico M Malatesta, Gabriele Perugini, Riccardo Zecchina

Phys Rev E· August 2023

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Learning through atypical phase transitions in overparameterized neural networks.
Carlo Baldassi, Clarissa Lauditi, Enrico M Malatesta, Rosalba Pacelli, Gabriele Perugini

Phys Rev E· July 2022

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Unveiling the Structure of Wide Flat Minima in Neural Networks.
Carlo Baldassi, Clarissa Lauditi, Enrico M Malatesta, Gabriele Perugini, Riccardo Zecchina

Phys Rev Lett· December 2021

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Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching.
Thomas Gueudré, Carlo Baldassi, Andrea Pagnani, Martin Weigt

Methods Mol Biol· January 2021

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Shaping the learning landscape in neural networks around wide flat minima.
Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina

Proc Natl Acad Sci U S A· January 2020

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Properties of the Geometry of Solutions and Capacity of Multilayer Neural Networks with Rectified Linear Unit Activations.
Carlo Baldassi, Enrico M Malatesta, Riccardo Zecchina

Phys Rev Lett· October 2019

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From statistical inference to a differential learning rule for stochastic neural networks.
Luca Saglietti, Federica Gerace, Alessandro Ingrosso, Carlo Baldassi, Riccardo Zecchina

Interface Focus· December 2018

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Role of Synaptic Stochasticity in Training Low-Precision Neural Networks.
Carlo Baldassi, Federica Gerace, Hilbert J Kappen, Carlo Lucibello, Luca Saglietti

Phys Rev Lett· June 2018

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Efficiency of quantum vs. classical annealing in nonconvex learning problems.
Carlo Baldassi, Riccardo Zecchina

Proc Natl Acad Sci U S A· February 2018

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RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells.
Carla Bosia, Francesco Sgrò, Laura Conti, Carlo Baldassi, Davide Brusa

Genome Biol· February 2017

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Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.
Carlo Baldassi, Christian Borgs, Jennifer T Chayes, Alessandro Ingrosso, Carlo Lucibello

Proc Natl Acad Sci U S A· November 2016

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Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis.
Thomas Gueudré, Carlo Baldassi, Marco Zamparo, Martin Weigt, Andrea Pagnani

Proc Natl Acad Sci U S A· October 2016

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Learning may need only a few bits of synaptic precision.
Carlo Baldassi, Federica Gerace, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina

Phys Rev E· May 2016

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Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses.
Carlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina

Phys Rev Lett· September 2015

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A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks.
Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina

PLoS Comput Biol· August 2015

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Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners.
Carlo Baldassi, Marco Zamparo, Christoph Feinauer, Andrea Procaccini, Riccardo Zecchina

PLoS One· January 2015

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Sharing information to reconstruct patient-specific pathways in heterogeneous diseases.
Anthony Gitter, Alfredo Braunstein, Andrea Pagnani, Carlo Baldassi, Christian Borgs

Pac Symp Biocomput· August 2014

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Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons.
Carlo Baldassi, Alireza Alemi-Neissi, Marino Pagan, James J Dicarlo, Riccardo Zecchina

PLoS Comput Biol· February 2014

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Efficient supervised learning in networks with binary synapses.
Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina

Proc Natl Acad Sci U S A· June 2007

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