Gerard BEN AROUS

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Jiří ČernýUniversity of BaselVerified email at unibas.ch
Aukosh JagannathCanada Research Chair in Mathematical Foundations of Data Science, University of WaterlooVerified email at uwaterloo.ca
Yann LeCunChief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
ofer zeitouniWeizmann Institute and New York UniversityVerified email at weizmann.ac.il
Anton BovierIAM, Bonn UniversityVerified email at uni-bonn.de
Anna ChoromanskaNew York UniversityVerified email at nyu.edu
Jinho BaikDepartment of Mathematics, University of MichiganVerified email at umich.edu
Giulio BiroliProfessor of Theoretical Physics, ENS ParisVerified email at cea.fr
Mikael HenaffMetaVerified email at nyu.edu
Michael MathieuDeepMindVerified email at google.com
Chiara CammarotaLa Sapienza, University of RomeVerified email at uniroma1.it
Andrea MontanariJohn D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford UniversityVerified email at stanford.edu
Levent SagunFAIRVerified email at meta.com
Nicolas ChampagnatInria Nancy - Grand EstVerified email at inria.fr
Song MeiAssistant Professor at UC BerkeleyVerified email at berkeley.edu
Cerf RaphaëlUniversite Paris SudVerified email at math.u-psud.fr
Allen TannenbaumDistinguished Professor, Computer Science/Applied Mathematics, Stony Brook UniversityVerified email at stonybrook.edu
Valentina RosLPTMS - CNRS & Paris-SaclayVerified email at universite-paris-saclay.fr
Matthieu WyartProfessor of Physics, Johns HopkinsVerified email at epfl.ch
Marco Baity-JesiEawagVerified email at eawag.ch

Gerard BEN AROUS

Professor of Mathematics, NYU Shanghai and Courant Institute of Mathematical Sciences, New York

Verified email at nyu.edu - Homepage

Probability Theory Statistical Mechanics Stochastic Analysis Random Matrices Spin glasses


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The loss surfaces of multilayer networks A Choromanska, M Henaff, M Mathieu, GB Arous, Y LeCun Artificial intelligence and statistics, 192-204, 2015	1713	2015
Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices J Baik, G Ben Arous, S Péché	1233	2005
Large deviations for Wigner's law and Voiculescu's non-commutative entropy GB Arous, A Guionnet Probability theory and related fields 108, 517-542, 1997	449	1997
Random matrices and complexity of spin glasses A Auffinger, GB Arous, J Černý Communications on Pure and Applied Mathematics 66 (2), 165-201, 2013	343	2013
Aging of spherical spin glasses GB Arous, A Dembo, A Guionnet Probability theory and related fields 120, 1-67, 2001	276	2001
Décroissance exponentielle du noyau de la chaleur sur la diagonale (II) GB Arous, R Léandre Probability Theory and Related Fields 90, 377-402, 1991	214*	1991
Complexity of random smooth functions on the high-dimensional sphere A Auffinger, G Ben Arous	186	2013
Flots et séries de Taylor stochastiques GB Arous Probability Theory and Related Fields 81, 29-77, 1989	176	1989
The canonical equation of adaptive dynamics: a mathematical view N Champagnat, R Ferričre, G Ben Arous4 Selection 2 (1-2), 73-83, 2002	173	2002
Open problem: The landscape of the loss surfaces of multilayer networks A Choromanska, Y LeCun, GB Arous Conference on Learning Theory, 1756-1760, 2015	150	2015
The spectrum of heavy tailed random matrices GB Arous, A Guionnet Communications in Mathematical Physics 278 (3), 715-751, 2008	150	2008
Poisson convergence for the largest eigenvalues of heavy tailed random matrices A Auffinger, G Ben Arous, S Péché Annales de l'IHP Probabilités et statistiques 45 (3), 589-610, 2009	147	2009
Complex energy landscapes in spiked-tensor and simple glassy models: Ruggedness, arrangements of local minima, and phase transitions V Ros, G Ben Arous, G Biroli, C Cammarota Physical Review X 9 (1), 011003, 2019	141	2019
The landscape of the spiked tensor model GB Arous, S Mei, A Montanari, M Nica Communications on Pure and Applied Mathematics 72 (11), 2282-2330, 2019	140	2019
Développement asymptotique du noyau de la chaleur hypoelliptique hors du cut-locus G Ben Arous Annales scientifiques de l'Ecole normale supérieure 21 (3), 307-331, 1988	139	1988
Comparing dynamics: Deep neural networks versus glassy systems M Baity-Jesi, L Sagun, M Geiger, S Spigler, GB Arous, C Cammarota, ... International Conference on Machine Learning, 314-323, 2018	135	2018
Large deviations for Langevin spin glass dynamics GB Arous, A Guionnet Probability Theory and Related Fields 102, 455-509, 1995	132	1995
Methods de Laplace et de la phase stationnaire sur l'espace de Wiener GB Arous Stochastics 25 (3), 125-153, 1988	129	1988
Large deviations from the circular law GB Arous, O Zeitouni ESAIM: Probability and Statistics 2, 123-134, 1998	121	1998
Limit theorems for sums of random exponentials G Ben Arous, LV Bogachev, SA Molchanov Probability theory and related fields 132, 579-612, 2005	117	2005

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