| Machine learning and the physical sciences G Carleo, I Cirac, K Cranmer, L Daudet, M Schuld, N Tishby, ... Reviews of Modern Physics 91 (4), 045002, 2019 | 1399 | 2019 |
| Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications A Decelle, F Krzakala, C Moore, L Zdeborová Physical Review E 84 (6), 066106, 2011 | 827 | 2011 |
| Spectral redemption in clustering sparse networks F Krzakala, C Moore, E Mossel, J Neeman, A Sly, L Zdeborová, P Zhang Proceedings of the National Academy of Sciences 110 (52), 20935-20940, 2013 | 651 | 2013 |
| Gibbs states and the set of solutions of random constraint satisfaction problems F Krzakała, A Montanari, F Ricci-Tersenghi, G Semerjian, L Zdeborová Proceedings of the National Academy of Sciences 104 (25), 10318-10323, 2007 | 494 | 2007 |
| Inference and phase transitions in the detection of modules in sparse networks A Decelle, F Krzakala, C Moore, L Zdeborová Physical Review Letters 107 (6), 065701, 2011 | 385 | 2011 |
| Statistical physics of inference: Thresholds and algorithms L Zdeborová, F Krzakala Advances in Physics 65 (5), 453-552, 2016 | 350 | 2016 |
| Statistical-physics-based reconstruction in compressed sensing F Krzakala, M Mézard, F Sausset, YF Sun, L Zdeborová Physical Review X 2 (2), 021005, 2012 | 318 | 2012 |
| Inferring the origin of an epidemic with a dynamic message-passing algorithm AY Lokhov, M Mézard, H Ohta, L Zdeborová Physical Review E 90 (1), 012801, 2014 | 301 | 2014 |
| Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices F Krzakala, M Mézard, F Sausset, Y Sun, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2012 (08), P08009, 2012 | 277 | 2012 |
| Phase transitions in the coloring of random graphs L Zdeborová, F Krząkała Physical Review E 76 (3), 031131, 2007 | 270 | 2007 |
| Percolation on sparse networks B Karrer, MEJ Newman, L Zdeborová Physical review letters 113 (20), 208702, 2014 | 254 | 2014 |
| Optimal errors and phase transitions in high-dimensional generalized linear models J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová Proceedings of the National Academy of Sciences 116 (12), 5451-5460, 2019 | 214* | 2019 |
| Network dismantling A Braunstein, L Dall’Asta, G Semerjian, L Zdeborová Proceedings of the National Academy of Sciences 113 (44), 12368-12373, 2016 | 182 | 2016 |
| Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula J Barbier, M Dia, N Macris, F Krzakala, T Lesieur, L Zdeborová Advances in Neural Information Processing Systems, 424-432, 2016 | 162* | 2016 |
| Entropy and mutual information in models of deep neural networks M Gabrié, A Manoel, C Luneau, J Barbier, N Macris, F Krzakala, ... Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124014, 2019 | 161 | 2019 |
| Spectral Clustering of graphs with the Bethe Hessian A Saade, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems, 406-414, 2014 | 158 | 2014 |
| Adaptive damping and mean removal for the generalized approximate message passing algorithm J Vila, P Schniter, S Rangan, F Krzakala, L Zdeborová 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 153 | 2015 |
| The number of matchings in random graphs L Zdeborová, M Mézard Journal of Statistical Mechanics: Theory and Experiment 2006 (05), P05003, 2006 | 137 | 2006 |
| Modeling the Influence of Data Structure on Learning in Neural Networks: The Hidden Manifold Model S Goldt, M Mézard, F Krzakala, L Zdeborová Physical Review X 10 (4), 041044, 2020 | 130* | 2020 |
| Hiding quiet solutions in random constraint satisfaction problems F Krzakala, L Zdeborová Physical review letters 102 (23), 238701, 2009 | 130 | 2009 |
Florent KrzakalaÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
