Florent Krzakala - Google Scholar

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	All	Since 2015
Citations	7536	5296
h-index	46	39
i10-index	114	97

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Co-authors

Lenka ZdeborovaIPhT, CEA Saclay, FranceVerified email at cea.fr
Marc MezardEcole normale supérieure ParisVerified email at ens.fr
Jean BarbierAssistant Professor, International Center for Theoretical PhysicsVerified email at ictp.it
Thomas JörgVerified email at itp.unibe.ch
jorge kurchanLPENS, École Normale Supérieure, Paris.Verified email at ens.fr
Nicolas MacrisEcole Polytechnique Federale LausanneVerified email at epfl.ch
Cristopher MooreSanta Fe InstituteVerified email at santafe.edu
Eric W. TramelMachine Learning @ OWKINVerified email at owkin.com
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaVerified email at roma1.infn.it
Sylvain GiganProfessor, Sorbonne Université / Lab. Kastler-Brossel / CNRS / Ecole Normale Supérieure / LightOn.aiVerified email at lkb.ens.fr
Olivier MartinINRAE, University Paris-SaclayVerified email at inrae.fr
Alaa SaadeResearch Engineer at DeepmindVerified email at google.com
Pan ZhangInstitute of Theoretical Physics, Chinese Academy of SciencesVerified email at itp.ac.cn
thibault LesieurSapienza UniversityVerified email at cea.fr
Andre ManoelHospital Israelita Albert EinsteinVerified email at einstein.br
Guilhem SemerjianLPT-ENSVerified email at lpt.ens.fr
Francesco CaltagironeSenior Machine Learning Scientist, SnipsVerified email at snips.ai
Laurent DaudetProfessor of physics, Paris Diderot University / CTO at LightOn.ioVerified email at espci.fr
Aurélien DecelleMaître de Conférence, Université Paris-Sud XIVerified email at lri.fr
Angélique DrémeauENSTA BretagneVerified email at ensta-bretagne.fr

Florent Krzakala

Ecole Normale Supérieure Paris, Sorbonne Université, LightOn

Verified email at ens.fr - Homepage

Statistical Mechanics Statistics Machine Learning Information theory Signal Processing


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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 84 (6), 066106, 2011	607	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	478	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	406	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	318	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	253	2012
Phase transitions in the coloring of random graphs L Zdeborová, F Krząkała Physical Review E 76 (3), 031131, 2007	220	2007
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	215	2012
Spin and link overlaps in 3-dimensional spin glasses F Krzakala, OC Martin Phys. Rev. Lett. 85, 3013, 2000	191	2000
Statistical physics of inference: Thresholds and algorithms L Zdeborová, F Krzakala Advances in Physics 65 (5), 453-552, 2016	183	2016
Jamming versus glass transitions R Mari, F Krzakala, J Kurchan Physical review letters 103 (2), 025701, 2009	147	2009
Landscape analysis of constraint satisfaction problems F Krzakala, J Kurchan Physical Review E 76 (2), 021122, 2007	133	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	112	2015
Spectral clustering of graphs with the bethe hessian A Saade, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems, 406-414, 2014	111	2014
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	111	2012
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula M Dia, N Macris, F Krzakala, T Lesieur, L Zdeborová Advances in Neural Information Processing Systems, 424-432, 2016	99	2016
Simple glass models and their quantum annealing T Jörg, F Krzakala, J Kurchan, AC Maggs Physical review letters 101 (14), 147204, 2008	99	2008
Energy exponents and corrections to scaling in Ising spin glasses JP Bouchaud, F Krzakala, OC Martin Physical Review B 68 (22), 224404, 2003	96	2003
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	94*	2019
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	94	2015
Hiding quiet solutions in random constraint satisfaction problems F Krzakala, L Zdeborová Phys. Rev. Lett. 102, 238701, 2009	94	2009

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