Nicolas Macris

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Jean BarbierAssistant Professor, International Center for Theoretical PhysicsVerified email at ictp.it
Florent KrzakalaÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
Ruediger UrbankeEPFLVerified email at epfl.ch
Lenka ZdeborovaEPFL, SwitzerlandVerified email at epfl.ch
Mohamad DiaEcole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandVerified email at epfl.ch
Hamed HassaniUniversity of PennsylvaniaVerified email at seas.upenn.edu
Satish Babu KoradaDE Shaw & Co.Verified email at deshaw.com
Jim FreericksProfessor and McDevitt Chair, Georgetown UniversityVerified email at physics.georgetown.edu
Marc VuffrayStaff Research Scientist, Los Alamos National LaboratoryVerified email at lanl.gov
Rafah El-KhatibFeebrisVerified email at feebris.com
Antoine MaillardEcole Normale Supérieure ParisVerified email at ens.fr
Vahid ArefNokiaVerified email at nokia-bell-labs.com
Massimo FranceschettiProfessor of Electrical and Computer EngineeringVerified email at ece.ucsd.edu
Olivier DousseHERE Technologies, Berlin, GermanyVerified email at here.com
Patrick ThiranProfessor, School of Communication and Computer Science, EPFL (Ecole Polytechnique Federale Lausanne)Verified email at epfl.ch
thibault LesieurSapienza UniversityVerified email at cea.fr
Bruno NachtergaeleUniversity of California, DavisVerified email at math.ucdavis.edu
Marylou GabriéPostdoc, NYU Center for Data Science, Flatiron Institute CCMVerified email at nyu.edu
Henry PfisterProfessor of Electrical and Computer Engineering, Duke UniversityVerified email at duke.edu
Santhosh Kumar SLecturer, Physics, Rajiv Gandhi University of Knowledge TechnologiesVerified email at rgukt.in

Nicolas Macris

Ecole Polytechnique Federale Lausanne

Verified email at epfl.ch

statistical physics mathematical physics information and coding theory high dimensional inference


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Percolation in the signal to interference ratio graph O Dousse, M Franceschetti, N Macris, R Meester, P Thiran Journal of applied probability 43 (2), 552-562, 2006	132	2006
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	131	2016
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 116 (12), 5451-5460, 2019	124	2019
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, 2019	124	2019
The Falicov-Kimball model: a review of exact results and extensions C Gruber, N Macris Helvetica Physica Acta 69 (ARTICLE), 850-907, 1996	93	1996
Entropy and mutual information in models of deep neural networks M Gabrié, A Manoel, C Luneau, J Barbier, N Macris, F Krzakala, ... Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124014, 2019	91	2019
Threshold saturation for spatially coupled LDPC and LDGM codes on BMS channels S Kumar, AJ Young, N Macris, HD Pfister IEEE Transactions on Information Theory 60 (12), 7389-7415, 2014	82	2014
The adaptive interpolation method: a simple scheme to prove replica formulas in Bayesian inference J Barbier, N Macris Probability theory and related fields 174 (3), 1133-1185, 2019	81	2019
The mutual information in random linear estimation J Barbier, M Dia, N Macris, F Krzakala 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016	76	2016
Tight bounds on the capacity of binary input random CDMA systems SB Korada, N Macris IEEE Transactions on Information Theory 56 (11), 5590-5613, 2010	68	2010
Coupled graphical models and their thresholds SH Hassani, N Macris, R Urbanke 2010 IEEE Information Theory Workshop, 1-5, 2010	62	2010
Griffith–Kelly–Sherman correlation inequalities: A useful tool in the theory of error correcting codes N Macris IEEE Transactions on Information Theory 53 (2), 664-683, 2007	55	2007
Mutual information and optimality of approximate message-passing in random linear estimation J Barbier, N Macris, M Dia, F Krzakala IEEE Transactions on Information Theory 66 (7), 4270-4303, 2020	52	2020
Exact solution of the gauge symmetric p-spin glass model on a complete graph SB Korada, N Macris Journal of Statistical Physics 136 (2), 205-230, 2009	52	2009
Phase separation and the segregation principle in the infinite- spinless Falicov-Kimball model JK Freericks, C Gruber, N Macris Physical Review B 60 (3), 1617, 1999	50	1999
The committee machine: Computational to statistical gaps in learning a two-layers neural network B Aubin, A Maillard, J Barbier, F Krzakala, N Macris, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124023, 2019	47	2019
On the flux phase conjecture at half-filling: an improved proof N Macris, B Nachtergaele Journal of statistical physics 85 (5), 745-761, 1996	47	1996
The layered structure of tensor estimation and its mutual information J Barbier, N Macris, L Miolane 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017	45	2017
On edge states in semi-infinite quantum Hall systems N Macris, PA Martin, JV Pulé Journal of Physics A: Mathematical and General 32 (10), 1985, 1999	45	1999
Ground states and flux configurations of the two-dimensional Falicov-Kimball model C Gruber, N Macris, A Messager, D Ueltschi Journal of statistical physics 86 (1), 57-108, 1997	45	1997

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