DE BEZENAC Emmanuel
PhD student
Team : MLIA
Arrival date : 10/01/2017
Tel: +33 1 44 27 88 07, Emmanuel.De-Bezenac (at) nulllip6.fr
https://lip6.fr/Emmanuel.De-Bezenac
Team : MLIA
Arrival date : 10/01/2017
- Sorbonne Université - LIP6
Boîte courrier 169
Couloir 26-00, Étage 5, Bureau 513
4 place Jussieu
75252 PARIS CEDEX 05
FRANCE
Tel: +33 1 44 27 88 07, Emmanuel.De-Bezenac (at) nulllip6.fr
https://lip6.fr/Emmanuel.De-Bezenac
Deep learning pour le climat
2019-2021 Publications
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2021
- Y. Yin, I. Ayed, E. De Bézenac, N. Baskiotis, P. Gallinari : “LEADS: Learning Dynamical Systems that Generalize Across Environments”, (2021)
- J.‑Y. Franceschi, E. De Bézenac, I. Ayed, M. Chen, S. Lamprier, P. Gallinari : “A Neural Tangent Kernel Perspective of GANs”, (2021)
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2020
- S. Karkar, I. Ayed, E. De Bézenac, P. Gallinari : “A Principle of Least Action for the Training of Neural Networks”, ECML PKDD, Ghent, Belgium (2020)
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2019
- E. De Bézenac, A. Pajot, P. Gallinari : “Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge”, (2019)
- I. Ayed, E. De Bézenac, A. Pajot, J. Brajard, P. Gallinari : “Learning Dynamical Systems from Partial Observations”, (2019)