Sfoglia per Autore BALDASSI, CARLO
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
Generalization learning in a perceptron with binary synapses
2009 Baldassi, Carlo
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
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
Theory and learning protocols for the material tempotron model
2013 Baldassi, Carlo; Braunstein, Alfredo; Zecchina, Riccardo
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons
2013 Baldassi, Carlo; Alemi Neissi, Alireza; Pagan, Marino; Dicarlo, James J.; Zecchina, Riccardo; Zoccolan, Davide
Input-driven unsupervised learning in recurrent neural networks
2014 Alireza Alemi, Neissi; Baldassi, Carlo; Nicolas, Brunel; 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
Sharing information to reconstruct patient-specific pathways in heterogeneous diseases
2014 Gitter, Anthony; Braunstein, Alfredo; Pagnani, Andrea; Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Zecchina, Riccardo; Fraenkel, Ernest
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
A Max-Sum algorithm for training discrete neural networks
2015 Baldassi, Carlo; Braunstein, Alfredo
Subdominant dense clusters allow for simple learning and high computational performance in neural networks with discrete synapses
2015 Baldassi, Carlo; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
Statistical physics and network optimization problems
2015 Baldassi, Carlo; Braunstein, Alfredo; Ramezanpour, Abolfazl; Zecchina, Riccardo
Learning may need only a few bits of synaptic precision
2016 Baldassi, Carlo; Gerace, Federica; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
Local entropy as a measure for sampling solutions in constraint satisfaction problems
2016 Baldassi, Carlo; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis
2016 Gueudré, Thomas; Baldassi, Carlo; Zamparo, Marco; Weigt, Martin; Pagnani, Andrea
Unreasonable effectiveness of learning neural networks: from accessible states and robust ensembles to basic algorithmic schemes
2016 Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, Riccardo
RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells
2017 Bosia, Carla; Conti, Francesco; Sgrò, Laura; Baldassi, Carlo; Brusa, Davide; Cavallo, Federica; Di Cunto, Ferdinando; Turco, Emilia; Pagnani, Andrea; Zecchina, Riccardo
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