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SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering., , , , , , and . Remote. Sens., 10 (4): 599 (2018)A DNN Framework for Learning Lagrangian Drift With Uncertainty., , , , , , and . CoRR, (2022)Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets., , , and . CoRR, (2022)A posteriori learning for quasi-geostrophic turbulence parametrization., , , , and . CoRR, (2022)Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation., , , , , , and . Remote. Sens., 11 (11): 1336 (2019)Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models., , , , and . CoRR, (2019)Joint calibration and mapping of satellite altimetry data using trainable variational models., , , and . CoRR, (2021)Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models., , , and . ICASSP, page 1536-1540. IEEE, (2022)Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables., , , , and . CoRR, (2022)A DNN Framework for Learning Lagrangian Drift With Uncertainty., , , , , , and . Appl. Intell., 53 (20): 23729-23739 (October 2023)