| 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—Statistical, Nonlinear, and Soft Matter Physics 84 (6 …, 2011 | 942 | 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 | 740 | 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 | 543 | 2007 |
| Statistical physics of inference: Thresholds and algorithms L Zdeborová, F Krzakala Advances in Physics 65 (5), 453-552, 2016 | 493 | 2016 |
| 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 | 424 | 2011 |
| Statistical-physics-based reconstruction in compressed sensing F Krzakala, M Mézard, F Sausset, YF Sun, L Zdeborová Physical Review X 2 (2), 021005, 2012 | 345 | 2012 |
| 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 | 318 | 2012 |
| 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, 201802705, 2019 | 309* | 2019 |
| Phase transitions in the coloring of random graphs L Zdeborová, F Krząkała Physical Review E 76 (3), 031131, 2007 | 300 | 2007 |
| Optical reservoir computing using multiple light scattering for chaotic systems prediction J Dong, M Rafayelyan, F Krzakala, S Gigan IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 1-12, 2019 | 280* | 2019 |
| Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques A Drémeau, A Liutkus, D Martina, O Katz, C Schülke, F Krzakala, S Gigan, ... Optics express 23 (9), 11898-11911, 2015 | 277 | 2015 |
| 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 | 219* | 2020 |
| Entropy and mutual information in models of deep neural networks M Gabrié, A Manoel, C Luneau, N Macris, F Krzakala, L Zdeborová Advances in neural information processing systems 31, 2018 | 212 | 2018 |
| Spin and link overlaps in 3-dimensional spin glasses F Krzakala, OC Martin Phys. Rev. Lett. 85, 3013, 2000 | 209 | 2000 |
| 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 29, 2016 | 199 | 2016 |
| Jamming versus glass transitions R Mari, F Krzakala, J Kurchan Physical review letters 103 (2), 025701, 2009 | 189 | 2009 |
| 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 | 180 | 2015 |
| The quantum adiabatic algorithm applied to random optimization problems: The quantum spin glass perspective V Bapst, L Foini, F Krzakala, G Semerjian, F Zamponi Physics Reports 523 (3), 127–205, 2012 | 180 | 2012 |
| Spectral clustering of graphs with the bethe hessian A Saade, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems, 406-414, 2014 | 178 | 2014 |
| Generalisation error in learning with random features and the hidden manifold model F Gerace, B Loureiro, F Krzakala, M Mézard, L Zdeborová International Conference on Machine Learning, 3452-3462, 2020 | 176 | 2020 |
Lenka ZdeborováEPFL, SwitzerlandVerified email at epfl.ch
