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Ibrahim Ayed
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Learning dynamical systems from partial observations
I Ayed, E de Bézenac, A Pajot, J Brajard, P Gallinari
arXiv preprint arXiv:1902.11136, 2019
562019
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
48*
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
16*2021
Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations
I Ayed, E de Bézenac, A Pajot, P Gallinari
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
16*2020
EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions
I Ayed, N Cedilnik, P Gallinari, M Sermesant
International Conference on Functional Imaging and Modeling of the Heart, 55-63, 2019
92019
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
62022
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
International Conference on Functional Imaging and Modeling of the Heart …, 2021
62021
A Principle of Least Action for the Training of Neural Networks
S Karkar, I Ayed, E de Bézenac, P Gallinari
ECML 2020, 2020
42020
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
32021
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging
V Kashtanova, I Ayed, A Arrieula, M Potse, P Gallinari, M Sermesant
MIDL 2022-Medical Imaging with Deep Learning, 2022
2022
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations
I Ayed, E de Bézenac, A Pajot, P Gallinari
Machine Learning, 1-32, 2022
2022
Block-wise Training of Residual Networks via the Minimizing Movement Scheme
S Karkar, I Ayed, E de Bézenac, P Gallinari
2022
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