Ayed, Ibrahim

8 publications

MIDL 2023 Deep Learning for Model Correction in Cardiac Electrophysiological Imaging Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant

NeurIPS 2023 Module-Wise Training of Neural Networks via the Minimizing Movement Scheme Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari

ICML 2022 A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi, Emmanuel De Bézenac, Ibrahim Ayed, Mickael Chen, Sylvain Lamprier, Patrick Gallinari

MLJ 2022 Modelling Spatiotemporal Dynamics from Earth Observation Data with Neural Differential Equations Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari

ICLR 2021 Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin, Vincent Le Guen, Jérémie Dona, Emmanuel de Bezenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari

ECML-PKDD 2021 CycleGAN Through the Lens of (Dynamical) Optimal Transport Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari

NeurIPS 2021 LEADS: Learning Dynamical Systems That Generalize Across Environments Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari

ECML-PKDD 2020 A Principle of Least Action for the Training of Neural Networks Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari