| 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 | 102 | 2016 |
| 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 | 86 | 2015 |
| A Scaling Hypothesis for the Euclidean Bipartite Matching Problem S Caracciolo, C Lucibello, G Parisi, G Sicuro Phys. Rev. E 90, 012118, 2014 | 52 | 2014 |
| 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 | 33 | 2016 |
| 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 | 22 | 2016 |
| 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 | 21 | 2018 |
| 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 | 21 | 2014 |
| 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 | 20 | 2013 |
| One-loop diagrams in the random Euclidean matching problem C Lucibello, G Parisi, G Sicuro Physical Review E 95 (1), 012302, 2017 | 13 | 2017 |
| 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 | 12 | 2014 |
| 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 | 10 | 2017 |
| One-dimensional disordered Ising models by replica and cavity methods C Lucibello, F Morone, T Rizzo Phys. Rev. E 90, 012140, 2014 | 5 | 2014 |
| 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 | 2 | 2020 |
| Generalized approximate survey propagation for high-dimensional estimation C Lucibello, L Saglietti, Y Lu International Conference on Machine Learning, 4173-4182, 2019 | 2 | 2019 |
| Finite Size Corrections to Disordered Systems: mean field results and applications to finite dimensional models C Lucibello arXiv preprint arXiv:1502.02471, 2015 | 2 | 2015 |
| 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 | 2 | 2014 |
| 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 | 1 | 2020 |
| The random fractional matching problem C Lucibello, EM Malatesta, G Parisi, G Sicuro Journal of Statistical Mechanics: Theory and Experiment 2018 (5), 053301, 2018 | 1 | 2018 |
| Reconstruction of Pairwise Interactions using Energy-Based Models C Feinauer, C Lucibello arXiv preprint arXiv:2012.06625, 2020 | | 2020 |
| 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 |
Carlo BaldassiBocconi University; INFNVerified email at unibocconi.it
