Curriculum Vitae

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  • Professor UPMC and Researcher at Ecole Normale Superieure, Paris, Since 2013
  • Member of the Insitut Universitaire de France, Since 2015
  • Holder of a Prairie Institute AI Chair, Since 2019
  • Holder of the chair CFM-ENS on datascience, Since 2016
  • Visiting Professor @ Duke University, Maths Dept., 2018
  • Visiting Scientist @ Simons Institute in Berkeley, 2016
  • Visiting Scientist @ Los Alamos National Labs, 2008
  • Maitre de Conference (Associate Professor) in ESPCI Paristech, 2004 - 2013

Interests

  • Statistical Physics
  • Machine learning
  • Random Optimization Problems
  • Inference on graphs
  • Information theory
  • Computational optics

Education

  • Postdoc, 2004

    Roma, La Sapienza

  • PhD in Statistical Physics, 2002

    Orsay, Paris XI

  • MSc in Physics, 1999

    Orsay, Paris XI

Teaching

Current or recent classes

Computation Science

Lecture given in the international master Physics of Complex Systems on computational science

Introduction to Machine Learning

An introductory pratical course by Florent Krzakala and Antoine Baker, Ecole Doctorale EDPIF 2019

ML & AI pour la physique et les physiciens

Cours Master 1, Université Paris Sorbonne 2019-2010

Statistical Physics For Optimization and Learning

A set of Lectures given at Duke in 2018 by Lenka Zdeborova and Florent Krzakala

The SPHINX group

Meet the team working in the Sphinx Group. Our interdisplinary research group embodies physicists, mathematicians, and computer scientists working together to solve problems ranging from statistics to signal processing and machine learning. We also enjoy a long-standing collaboration with the SMILE team of Lenka Zdeborova. Feel free to check the group github repo.

The SPHINX team acknowledge funding from: fundings

Grad Students

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Alia Abbara

Phd student

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Antoine Maillard

Phd student

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Cedric Gerbelot

Phd student (co-supervised with M. Lelarge, DI)

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Jonathan Dong

Phd student (co-supervised with Pr. Sylvain Gigan, LKB)

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Maria Refinetti

Phd student (co-supervised with G. Semerjian)

Postdocs

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Antoine Baker

Laplace Postdoc

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Luca Saglietti

Laplace Postdoc

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Sebastian Goldt

Postdoc PRAIRIE

Industry co-advised Students

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Julien Launay

Phd student at LightOn inc

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Ruben Ohana

Phd Student at LightOn

Former members…

… and where to find them

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Jean Barbier
Prof. @ ICTP Trieste
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Alaa Saade
Google Deepmind
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Marylou Gabrié
Postdoc. @ NYU & Flatiron
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Christophe Schulke
Phillips research
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Pan Zhang
Prof. @ Chinese Acad. Sci.
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Laura Foini
CNRS research, Saclay
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Eric Trammel
Owkin inc.
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Andre Manoel
Owkin inc.
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Fra Caltagirone
SNIPS inc.
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Sun Yifan
Lecturer @ Renmin Univ.
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Boshra Rajaei
Assoc. Prof. @ Sadjad Univ.
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Alejandro Lage
Prof. La Havana
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Angelique Dremeau
Assoc. Prof. @ ENSTA

Recent Publications

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In this work we analyse quantitatively the interplay between the loss landscape and performance of descent algorithms in a prototypical …

We introduce a generalized version of phase retrieval called multiplexed phase retrieval. We want to recover the phase of …

Generalized linear models (GLMs) are used in high-dimensional machine learning, statistics, communications, and signal processing. In …

Approximate message passing algorithm enjoyed considerable attention in the last decade. In this paper we introduce a variant of the …

Consider a population consisting of $n$ individuals, each of whom has one of $d$ types (e.g., blood types, in which case $d=4$). We are …

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