Florent Krzakala
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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
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
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
Statistical physics of inference: Thresholds and algorithms
L Zdeborová, F Krzakala
Advances in Physics 65 (5), 453-552, 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
Statistical-physics-based reconstruction in compressed sensing
F Krzakala, M Mézard, F Sausset, YF Sun, L Zdeborová
Physical Review X 2 (2), 021005, 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
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
Phase transitions in the coloring of random graphs
L Zdeborová, F Krząkała
Physical Review E 76 (3), 031131, 2007
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
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
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
Spin and link overlaps in 3-dimensional spin glasses
F Krzakala, OC Martin
Phys. Rev. Lett. 85, 3013, 2000
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
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
Jamming versus glass transitions
R Mari, F Krzakala, J Kurchan
Physical review letters 103 (2), 025701, 2009
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
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
Spectral clustering of graphs with the bethe hessian
A Saade, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems, 406-414, 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
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