• My publications are listed here

  • and below

Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation
O. Chehab, A. Gramfort, A. Hyvärinen

Submitted 2023
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think
O. Chehab, A. Gramfort, A. Hyvärinen

Uncertainty in Artificial Intelligence 2022
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

Journal of Neurons, Behavior, Data analysis, and Theory 2022
Uncovering the structure of clinical EEG signals with self-supervised learning
H. Banville, O. Chehab, A. Hyvärinen, D. Engemann, A. Gramfort

Journal of Neural Engineering 2021
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

Journal of Neurophysiology 2020

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