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Omar Chehab
Omar Chehab
PhD Student, Inria
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Uncovering the structure of clinical EEG signals with self-supervised learning
H Banville, O Chehab, A Hyvärinen, DA Engemann, A Gramfort
Journal of Neural Engineering 18 (4), 046020, 2021
572021
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, ...
Journal of neurophysiology 123 (3), 1042-1051, 2020
152020
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think
O Chehab, A Gramfort, A Hyvarinen
arXiv preprint arXiv:2203.01110, 2022
12022
Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
O Chehab, A Defossez, JC Loiseau, A Gramfort, JR King
arXiv preprint arXiv:2103.02339, 2021
12021
Learning with self-supervision on EEG data
A Gramfort, H Banville, O Chehab, A Hyvärinen, D Engemann
2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-2, 2021
2021
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Articles 1–5