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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
9722011
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
7562013
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
5592007
Statistical physics of inference: Thresholds and algorithms
L Zdeborová, F Krzakala
Advances in Physics 65 (5), 453-552, 2016
5322016
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
4402011
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
3592019
Statistical-physics-based reconstruction in compressed sensing
F Krzakala, M Mézard, F Sausset, YF Sun, L Zdeborová
Physical Review X 2 (2), 021005, 2012
3542012
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
3362012
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
321*2019
Phase transitions in the coloring of random graphs
L Zdeborová, F Krząkała
Physical Review E 76 (3), 031131, 2007
3052007
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
2952015
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
251*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
2232018
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
2142016
Spin and link overlaps in 3-dimensional spin glasses
F Krzakala, OC Martin
Phys. Rev. Lett. 85, 3013, 2000
2112000
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
2062020
Learning curves of generic features maps for realistic datasets with a teacher-student model
B Loureiro, C Gerbelot, H Cui, S Goldt, F Krzakala, M Mezard, ...
Advances in Neural Information Processing Systems 34, 18137-18151, 2021
2002021
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
1942012
Jamming versus glass transitions
R Mari, F Krzakala, J Kurchan
Physical review letters 103 (2), 025701, 2009
1902009
Double trouble in double descent: Bias and variance (s) in the lazy regime
S d’Ascoli, M Refinetti, G Biroli, F Krzakala
International Conference on Machine Learning, 2280-2290, 2020
1882020
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