• My publications are listed here

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• and below

Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation

O. Chehab, A. Gramfort, A. Hyvärinen

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Submitted 2023

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The Optimal Noise in Noise-Contrastive Learning Is Not What You Think

O. Chehab, A. Gramfort, A. Hyvärinen

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Uncertainty in Artificial Intelligence 2022

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Deep Recurrent Encoder: A scalable end-to-end network to model brain signals

O. Chehab*, A. Defossez*, J.C. Loiseau, A. Gramfort, J.R. King

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Journal of Neurons, Behavior, Data analysis, and Theory 2022

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Uncovering the structure of clinical EEG signals with self-supervised learning

H. Banville, O. Chehab, A. Hyvärinen, D. Engemann, A. Gramfort

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Journal of Neural Engineering 2021

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A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models

M. Carlu*, O. Chehab*, L. Dalla Porta*, D. Depannemaecker*, C. Héricé*, M. Jedynak*, E. Köksal Ersöz*, P. Muratore*, S. Souihel*, C. Capone, Y. Zerlaut, A. Destexhe, M. di Volo

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Journal of Neurophysiology 2020

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I was selected to be in the pool of Top Reviewers for AISTATS (2022) and NeurIPS (2022).