Carlo Lucibello
Carlo Lucibello
Assistant Professor, Bocconi University
Email verificata su unibocconi.it
TitoloCitata daAnno
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
682016
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
592015
A Scaling Hypothesis for the Euclidean Bipartite Matching Problem
S Caracciolo, C Lucibello, G Parisi, G Sicuro
Phys. Rev. E 90, 012118, 2014
402014
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
222016
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
172016
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
172014
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
172013
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
92017
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
72018
Loop expansion around the Bethe approximation through the -layer construction
A Altieri, MC Angelini, C Lucibello, G Parisi, F Ricci-Tersenghi, T Rizzo
arXiv preprint arXiv:1707.08499, 2017
52017
One-dimensional disordered Ising models by replica and cavity methods
C Lucibello, F Morone, T Rizzo
Phys. Rev. E 90, 012140, 2014
32014
Finite Size Corrections to Disordered Systems: mean field results and applications to finite dimensional models
C Lucibello
arXiv preprint arXiv:1502.02471, 2015
22015
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
New loop expansion for the Random Magnetic Field Ising Ferromagnets at zero temperature
MC Angelini, C Lucibello, G Parisi, F Ricci-Tersenghi, T Rizzo
arXiv preprint arXiv:1906.04437, 2019
2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation
C Lucibello, L Saglietti, Y Lu
International Conference on Machine Learning, 4173-4182, 2019
2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation
L Saglietti, YM Lu, C Lucibello
arXiv preprint arXiv:1905.05313, 2019
2019
Signal propagation in continuous approximations of binary neural networks
G Stamatescu, F Gerace, C Lucibello, I Fuss, LB White
arXiv preprint arXiv:1902.00177, 2019
2019
The random fractional matching problem
C Lucibello, EM Malatesta, G Parisi, G Sicuro
Journal of Statistical Mechanics: Theory and Experiment 2018 (5), 053301, 2018
2018
Generalized Approximate Survey Propagation for High-Dimensional Estimation: Supplementary Material
L Saglietti, YM Lu, C Lucibello
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20