Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models. - Simon Benaïchouche; Clément Le Goff; Yann Guichoux; François Rousseau 002; Ronan Fablet (ICASSP, 2021)

Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models. - Simon Benaïchouche; Clément Le Goff; Yann Guichoux; François Rousseau 002; Ronan Fablet (Remote. Sens., 2021)

Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel. - Simon Benaïchouche; Clément Le Goff; Brahim Boussidi; François Rousseau 002; Ronan Fablet (IGARSS, 2022)

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. - Guillaume Morel; Lucas Drumetz; Simon Benaïchouche; Nicolas Courty; François Rousseau 002 (Trans. Mach. Learn. Res., 2023)

On Divergence-Free Neural ODE for Classification. - Zakaria Jarraya; Lucas Drumetz; Simon Benaïchouche; Douraied Ben Salem; François Rousseau 002 (ICPR (8), 2024)

SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. - Maxime Beauchamp; Nicolas Desassis; J. Emmanuel Johnson; Simon Benaïchouche; Pierre Tandeo; Ronan Fablet (CoRR, 2024)