| Unsupervised reconstruction of sea surface currents from ais maritime traffic data using trainable variational models S Benaïchouche, C Legoff, Y Guichoux, F Rousseau, R Fablet Remote Sensing 13 (16), 3162, 2021 | 9 | 2021 |
| Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G Morel, L Drumetz, S Benaïchouche, N Courty, F Rousseau arXiv preprint arXiv:2209.10873, 2022 | 5 | 2022 |
| Learnable variational models for the reconstruction of sea surface currents using ais data streams: a case study on the sicily channel S Benaïchouche, C Le Goff, B Boussidi, F Rousseau, R Fablet IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Multi-modal data assimilation of sea surface currents from AIS data streams and satellite altimetry using 4DVARNet S Benaïchouche, C Le Goff, B Boussidi, F Rousseau, R Fablet EGU General Assembly Conference Abstracts, EGU-14051, 2023 | 1 | 2023 |
| On Divergence-Free Neural ODE for Classification Z Jarraya, L Drumetz, S Benaïchouche, DB Salem, F Rousseau International Conference on Pattern Recognition, 254-265, 2024 | | 2024 |
| Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors M Beauchamp, R Fablet, S Benaichouche, P Tandeo, N Desassis, ... | | 2024 |
| SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes M Beauchamp, N Desassis, JE Johnson, S Benaichouche, P Tandeo, ... arXiv preprint arXiv:2402.01855, 2024 | | 2024 |
| Learning operational altimetry mapping from ocean models Q Febvre, R Fablet, J Le Sommer, C Ubelmann, S Benaïchouche EGU General Assembly Conference Abstracts, EGU-8288, 2023 | | 2023 |
| Divergence-free continuous normalizing flows for uncertainty quantification S Benaïchouche, G Morel, F Rousseau, R Fablet | | 2022 |
