Postdoctoral Researcher
ENSAE Paris
About
I am a postdoctoral researcher in the Statistics Department of ENSAE Paris and CREST, working with Anna Korba.
I received my PhD in Mathematical Computer Science at Inria, where I was advised by Aapo Hyvärinen and Alexandre Gramfort. I also hold a Master’s in Applied Mathematics and Engineering from ENSTA Paris and another in Mathematics, Vision and Learning (MVA) from Ecole Normale Superieure Paris-Saclay.
My research is in machine learning, particularly on efficient algorithms for estimating and sampling from probabilistic models, as well as on learning useful representations of brain activity.
You can reach me at emir.chehab [AT] ensae.fr
Publications
Sampling from Energy-Based Probabilistic Models
Estimating Energy-Based Probabilistic Models
Learning Representations of Brain Activity
O. Chehab*, A. Defossez*, J.C. Loiseau, A. Gramfort, J.R. King
Journal of Neurons, Behavior, Data analysis, and Theory, 2022.
PAPER
H. Banville, O. Chehab, A. Hyvärinen, D. Engemann, A. Gramfort
Journal of Neural Engineering, 2021.
PAPER
A. Gramfort, H. Banville, O. Chehab, A. Hyvärinen, D. Engemann
International Winter Workshop on Brain-Computer Interface, 2021.
PAPER
M. Carlu*, O. Chehab*, [...], A. Destexhe, M. di Volo
Journal of Neurophysiology, 2020.
PAPER
Talks
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10/2024, Gregory Wornell’s team seminar, MIT, USA
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10/2024, Youssef Marzouk’s team seminar, MIT, USA
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03/2024, Takeru Matsuda’s team seminar, RIKEN, Japan
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–/2023, Self-Supervised Learning Reading Group, Vector Institute, Canada
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02/2020 Nonlinear ICA workshop, Inria Saclay, France
Teaching
I was Teacher’s Assistant for the following Masters courses.
Professors: Alexandre Gramfort, Pierre Ablin
Professors: Emilie Chouzenoux, Frederic Pascal
Professors: Jean-Christophe Pesquet, Sorin Olaru, Stephane Font