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Ibrahim Ayed
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AUGMENTING PHYSICAL MODELS WITH DEEP NET-WORKS FOR COMPLEX DYNAMICS FORECASTING
Y Yin, V Le Guen, J Dona, E de Bézenac, I Ayed, N Thome, P Gallinari
84*
Learning dynamical systems from partial observations
I Ayed, E de Bézenac, A Pajot, J Brajard, P Gallinari
arXiv preprint arXiv:1902.11136, 2019
662019
CycleGAN Through the Lens of (Dynamical) Optimal Transport
E Bézenac, I Ayed, P Gallinari
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
20*2021
Learning the spatio-temporal dynamics of physical processes from partial observations
I Ayed, E De Bezenac, A Pajot, P Gallinari
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
19*2020
A neural tangent kernel perspective of gans
JY Franceschi, E De Bézenac, I Ayed, M Chen, S Lamprier, P Gallinari
International Conference on Machine Learning, 6660-6704, 2022
132022
LEADS: Learning dynamical systems that generalize across environments
Y Yin, I Ayed, E de Bézenac, N Baskiotis, P Gallinari
Advances in Neural Information Processing Systems 34, 7561-7573, 2021
112021
Ep-net: Learning cardiac electrophysiology models for physiology-based constraints in data-driven predictions
I Ayed, N Cedilnik, P Gallinari, M Sermesant
Functional Imaging and Modeling of the Heart: 10th International Conference …, 2019
102019
Ep-net 2.0: out-of-domain generalisation for deep learning models of cardiac electrophysiology
V Kashtanova, I Ayed, N Cedilnik, P Gallinari, M Sermesant
Functional Imaging and Modeling of the Heart: 11th International Conference …, 2021
72021
A Principle of Least Action for the Training of Neural Networks
S Karkar, I Ayed, E de Bézenac, P Gallinari
ECML 2020, 2020
62020
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging
V Kashtanova, I Ayed, A Arrieula, M Potse, P Gallinari, M Sermesant
International Conference on Medical Imaging with Deep Learning, 665-675, 2022
12022
APHYN-EP: Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics
V Kashtanova, M Pop, I Ayed, P Gallinari, M Sermesant
Statistical Atlases and Computational Models of the Heart. Regular and …, 2023
2023
Neural Models for Learning Real World Dynamics and the Neural Dynamics of Learning
I Ayed
Sorbonne université, 2022
2022
Module-wise Training of Residual Networks via the Minimizing Movement Scheme
S Karkar, I Ayed, E de Bézenac, P Gallinari
arXiv preprint arXiv:2210.00949, 2022
2022
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations
I Ayed, E de Bézenac, A Pajot, P Gallinari
Machine Learning 111 (6), 2349-2380, 2022
2022
Block-wise Training of Residual Networks via the Minimizing Movement Scheme
S Karkar, I Ayed, E de Bézenac, P Gallinari
2022
LEADS: Learning Dynamical Systems that Generalize Across Environments Supplemental Material
Y Yin, I Ayed, E de Bézenac, N Baskiotis, P Gallinari
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Articles 1–16