Efficiency of quantum vs. classical annealing in nonconvex learning problems

por Baldassi, Carlo, Zecchina, Riccardo
Publicado 2018

Shaping the learning landscape in neural networks around wide flat minima

por Baldassi, Carlo, Pittorino, Fabrizio, Zecchina, Riccardo
Publicado 2020

Efficient supervised learning in networks with binary synapses

por Baldassi, Carlo, Braunstein, Alfredo, Brunel, Nicolas, Zecchina, Riccardo
Publicado 2007

A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks

por Alemi, Alireza, Baldassi, Carlo, Brunel, Nicolas, Zecchina, Riccardo
Publicado 2015

From statistical inference to a differential learning rule for stochastic neural networks

por Saglietti, Luca, Gerace, Federica, Ingrosso, Alessandro, Baldassi, Carlo, Zecchina, Riccardo
Publicado 2018

Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition

por Alemi-Neissi, Alireza, Baldassi, Carlo, Braunstein, Alfredo, Pagnani, Andrea, Zecchina, Riccardo, Zoccolan, Davide
Publicado 2012

Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners

por Baldassi, Carlo, Zamparo, Marco, Feinauer, Christoph, Procaccini, Andrea, Zecchina, Riccardo, Weigt, Martin, Pagnani, Andrea
Publicado 2014

Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons

por Baldassi, Carlo, Alemi-Neissi, Alireza, Pagan, Marino, DiCarlo, James J., Zecchina, Riccardo, Zoccolan, Davide
Publicado 2013

RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells

por Bosia, Carla, Sgrò, Francesco, Conti, Laura, Baldassi, Carlo, Brusa, Davide, Cavallo, Federica, Cunto, Ferdinando Di, Turco, Emilia, Pagnani, Andrea, Zecchina, Riccardo
Publicado 2017