Carlo Baldassi
Title
Cited by
Cited by
Year
Entropy-sgd: Biasing gradient descent into wide valleys
P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, ...
Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124018, 2019
3032019
Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners
C Baldassi, M Zamparo, C Feinauer, A Procaccini, R Zecchina, M Weigt, ...
PloS one 9 (3), e92721, 2014
1042014
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes
C Baldassi, C Borgs, JT Chayes, A Ingrosso, C Lucibello, L Saglietti, ...
Proceedings of the National Academy of Sciences 113 (48), E7655-E7662, 2016
962016
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons
C Baldassi, A Alemi-Neissi, M Pagan, JJ DiCarlo, R Zecchina, D Zoccolan
PLoS Comput Biol 9 (8), e1003167, 2013
942013
Efficient supervised learning in networks with binary synapses
C Baldassi, A Braunstein, N Brunel, R Zecchina
Proceedings of the National Academy of Sciences 104 (26), 11079 -11084, 2007
832007
Subdominant dense clusters allow for simple learning and high computational performance in neural networks with discrete synapses
C Baldassi, A Ingrosso, C Lucibello, L Saglietti, R Zecchina
Physical review letters 115 (12), 128101, 2015
812015
Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis
T Gueudré, C Baldassi, M Zamparo, M Weigt, A Pagnani
Proceedings of the National Academy of Sciences 113 (43), 12186-12191, 2016
722016
Local entropy as a measure for sampling solutions in constraint satisfaction problems
C Baldassi, A Ingrosso, C Lucibello, L Saglietti, R Zecchina
Journal of Statistical Mechanics: Theory and Experiment 2016 (2), 023301, 2016
322016
RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells
C Bosia, F Sgrò, L Conti, C Baldassi, D Brusa, F Cavallo, F Di Cunto, ...
Genome biology 18 (1), 1-14, 2017
272017
Efficiency of quantum vs. classical annealing in nonconvex learning problems
C Baldassi, R Zecchina
Proceedings of the National Academy of Sciences 115 (7), 1457-1462, 2018
252018
Role of synaptic stochasticity in training low-precision neural networks
C Baldassi, F Gerace, HJ Kappen, C Lucibello, L Saglietti, E Tartaglione, ...
Physical review letters 120 (26), 268103, 2018
202018
Learning may need only a few bits of synaptic precision
C Baldassi, F Gerace, C Lucibello, L Saglietti, R Zecchina
Physical Review E 93 (5), 052313, 2016
192016
Parle: parallelizing stochastic gradient descent
P Chaudhari, C Baldassi, R Zecchina, S Soatto, A Talwalkar, A Oberman
arXiv preprint arXiv:1707.00424, 2017
182017
Generalization learning in a perceptron with binary synapses
C Baldassi
Journal of Statistical Physics 136 (5), 902-916, 2009
182009
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
A Alemi, C Baldassi, N Brunel, R Zecchina
PLoS Comput Biol 11 (8), e1004439, 2015
162015
A max-sum algorithm for training discrete neural networks
C Baldassi, A Braunstein
Journal of Statistical Mechanics: Theory and Experiment 2015 (8), P08008, 2015
152015
Sharing information to reconstruct patient-specific pathways in heterogeneous diseases
A Gitter, A Braunstein, A Pagnani, C Baldassi, C Borgs, J Chayes, ...
Biocomputing 2014, 39-50, 2014
132014
Properties of the geometry of solutions and capacity of multilayer neural networks with rectified linear unit activations
C Baldassi, EM Malatesta, R Zecchina
Physical review letters 123 (17), 170602, 2019
112019
Shaping the learning landscape in neural networks around wide flat minima
C Baldassi, F Pittorino, R Zecchina
Proceedings of the National Academy of Sciences 117 (1), 161-170, 2020
102020
A method to reduce the rejection rate in Monte Carlo Markov chains
C Baldassi
Journal of Statistical Mechanics: Theory and Experiment 2017 (3), 033301, 2017
9*2017
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Articles 1–20