Carlo Lucibello
Title
Cited by
Cited by
Year
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
972016
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
A Scaling Hypothesis for the Euclidean Bipartite Matching Problem
S Caracciolo, C Lucibello, G Parisi, G Sicuro
Phys. Rev. E 90, 012118, 2014
482014
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
332016
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
202016
Finite size corrections to disordered Ising models on Random Regular Graphs
C Lucibello, F Morone, G Parisi, F Ricci-Tersenghi, T Rizzo
Phys. Rev. E 90, 012146, 2014
202014
Finite-size corrections to disordered systems on Erdös-Rényi random graphs
U Ferrari, C Lucibello, F Morone, G Parisi, F Ricci-Tersenghi, T Rizzo
Physical Review B 88 (18), 184201, 2013
192013
The statistical mechanics of random set packing and a generalization of the Karp-Sipser algorithm
C Lucibello, F Ricci-Tersenghi
International Journal of Statistical Mechanics 2014, 1-13, 2014
122014
One-loop diagrams in the random Euclidean matching problem
C Lucibello, G Parisi, G Sicuro
Physical Review E 95 (1), 012302, 2017
112017
Loop expansion around the Bethe approximation through the M-layer construction
A Altieri, MC Angelini, C Lucibello, G Parisi, F Ricci-Tersenghi, T Rizzo
Journal of Statistical Mechanics: Theory and Experiment 2017 (11), 113303, 2017
92017
One-dimensional disordered Ising models by replica and cavity methods
C Lucibello, F Morone, T Rizzo
Phys. Rev. E 90, 012140, 2014
52014
Entropic gradient descent algorithms and wide flat minima
F Pittorino, C Lucibello, C Feinauer, EM Malatesta, G Perugini, C Baldassi, ...
arXiv preprint arXiv:2006.07897, 2020
22020
Generalized approximate survey propagation for high-dimensional estimation
C Lucibello, L Saglietti, Y Lu
International Conference on Machine Learning, 4173-4182, 2019
22019
Finite Size Corrections to Disordered Systems: mean field results and applications to finite dimensional models
C Lucibello
arXiv preprint arXiv:1502.02471, 2015
22015
Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperature
MC Angelini, C Lucibello, G Parisi, F Ricci-Tersenghi, T Rizzo
Proceedings of the National Academy of Sciences 117 (5), 2268-2274, 2020
12020
The random fractional matching problem
C Lucibello, EM Malatesta, G Parisi, G Sicuro
Journal of Statistical Mechanics: Theory and Experiment 2018 (5), 053301, 2018
12018
Anomalous finite size corrections in random field models
C Lucibello, F Morone, G Parisi, F Ricci-Tersenghi, T Rizzo
J. Stat. Mech. (2014) P10025, 2014
12014
Clustering of solutions in the symmetric binary perceptron
C Baldassi, R Della Vecchia, C Lucibello, R Zecchina
Journal of Statistical Mechanics: Theory and Experiment 2020 (7), 073303, 2020
2020
Critical initialisation in continuous approximations of binary neural networks
S George, G Federica, C LUCIBELLO, F Ian, W Langford
International Conference on Learning Representations (ICLR 2020 Conference), 2020
2020
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Articles 1–20