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2020 – today
- 2024
[c3]Zakaria Jarraya, Lucas Drumetz, Simon Benaïchouche, Douraied Ben Salem, François Rousseau:
On Divergence-Free Neural ODE for Classification. ICPR (8) 2024: 254-265- [i2]Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaïchouche, Pierre Tandeo, Ronan Fablet:
SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. CoRR abs/2402.01855 (2024) - 2023
- [j2]Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau:
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [c2]Simon Benaïchouche, Clément Le Goff, Brahim Boussidi, François Rousseau
, Ronan Fablet:
Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel. IGARSS 2022: 6821-6824 - [i1]Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche:
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. CoRR abs/2209.10873 (2022) - 2021
- [j1]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models. Remote. Sens. 13(16): 3162 (2021) - [c1]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models. ICASSP 2021: 4100-4104
Coauthor Index
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