Članki z zahtevami za javni dostop - Omar ChehabVeč o tem
Ni na voljo nikjer: 1
Learning with self-supervision on EEG data
A Gramfort, H Banville, O Chehab, A Hyvärinen, D Engemann
International Winter Conference on Brain-Computer Interface (BCI), 1-2, 2021
Zahteve: Agence Nationale de la Recherche
Na voljo nekje: 5
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
Zahteve: Agence Nationale de la Recherche
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
Zahteve: European Commission
The optimal noise in noise-contrastive learning is not what you think
O Chehab, A Gramfort, A Hyvärinen
Uncertainty in Artificial Intelligence (UAI), 307-316, 2022
Zahteve: Academy of Finland, Agence Nationale de la Recherche
Deep Recurrent Encoder: an end-to-end network to model magnetoencephalography at scale
O Chehab, A Défossez, L Jean-Christophe, A Gramfort, JR King
Neurons, Behavior, Data Analysis, and Theory, 2022
Zahteve: European Commission, Agence Nationale de la Recherche
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
O Chehab, A Hyvarinen, A Risteski
Spotlight, Advances in Neural Information Processing Systems (NeurIPS) 36, 2024
Zahteve: US National Science Foundation, Academy of Finland, Agence Nationale de la …
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