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APHYN-EP: Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics

Victoriya Kashtanova , Mihaela Pop , Ibrahim Ayed , Patrick Gallinari , Maxime Sermesant
STACOM 2022 - 13th Workhop on Statistical Atlases and Computational Modelling of the Heart, Sep 2022, Singapore, Singapore
Conference papers hal-03894974v1
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A Neural Tangent Kernel Perspective of GANs

Jean-Yves Franceschi , Emmanuel de Bézenac , Ibrahim Ayed , Mickaël Chen , Sylvain Lamprier , et al.
Thirty-ninth International Conference on Machine Learning, Jul 2022, Baltimore, MD, United States.
Poster communications hal-03716574v1
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A Neural Tangent Kernel Perspective of GANs

Jean-Yves Franceschi , Emmanuel de Bézenac , Ibrahim Ayed , Mickaël Chen , Sylvain Lamprier , et al.
39th International Conference on Machine Learning, International Machine Learning Society, Jul 2022, Baltimore, MD, United States. pp.6660-6704
Conference papers hal-03254591v5
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Augmenting physical models with deep networks for complex dynamics forecasting

Yuan Yin , Vincent Le Guen , Jérémie Donà , Emmanuel de Bézenac , Ibrahim Ayed , et al.
Journal of Statistical Mechanics: Theory and Experiment, 2021, 2021 (12), pp.124012. ⟨10.1088/1742-5468/ac3ae5⟩
Journal articles hal-03508401v2
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Neural Models for Learning Real World Dynamics and the Neural Dynamics of Learning

Ibrahim Ayed
Neural and Evolutionary Computing [cs.NE]. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS434⟩
Theses tel-04028111v1