SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering. - Laura Gómez-Navarro; Ronan Fablet; Evan Mason; Ananda Pascual; Baptiste Mourre; Emmanuel Cosme; Julien Le Sommer (Remote. Sens., 2018)

Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. - Ronan Fablet; Julien Le Sommer; Jean-Marc Molines; Lucas Drumetz; François Rousseau 002; Bertrand Chapron (IGARSS, 2019)

Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. - Redouane Lguensat; Julien Le Sommer; Sammy Metref; Emmanuel Cosme; Ronan Fablet (CoRR, 2019)

Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation. - Sammy Metref; Emmanuel Cosme; Julien Le Sommer; Nora Poel; Jean-Michel Brankart; Jacques Verron; Laura Gómez-Navarro (Remote. Sens., 2019)

Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. - Redouane Lguensat; Ronan Fablet; Julien Le Sommer; Sammy Metref; Emmanuel Cosme; Kaouther Ouenniche; Lucas Drumetz; Jonathan Gula (IGARSS, 2020)

Physical invariance in neural networks for subgrid-scale scalar flux modeling. - Hugo Frezat; Guillaume Balarac; Julien Le Sommer; Ronan Fablet; Redouane Lguensat (CoRR, 2020)

Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission. - Laura Gómez-Navarro; Emmanuel Cosme; Julien Le Sommer; Nicolas Papadakis; Ananda Pascual (Remote. Sens., 2020)

Modélisation numérique pour l'étude de la variabilité et des interactions d'échelles dans l'océan. (Numerical modeling for studying ocean variability and scale interactions). - Julien Le Sommer (2021)

A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2021)

Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. - Quentin Febvre; Ronan Fablet; Julien Le Sommer; Clément Ubelmann (ICASSP, 2022)

A posteriori learning for quasi-geostrophic turbulence parametrization. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2022)

Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. - J. Emmanuel Johnson; Redouane Lguensat; Ronan Fablet; Emmanuel Cosme; Julien Le Sommer (CoRR, 2022)

Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets. - Ronan Fablet; Bertrand Chapron; Julien Le Sommer; Florian Sévellec (CoRR, 2022)

OceanBench: The Sea Surface Height Edition. - J. Emmanuel Johnson; Quentin Febvre; Anastasiia Gorbunova; Sammy Metref; Maxime Ballarotta; Julien Le Sommer; Ronan Fablet (NeurIPS, 2023)

Training neural mapping schemes for satellite altimetry with simulation data. - Quentin Febvre; Julien Le Sommer; Clément Ubelmann; Ronan Fablet (CoRR, 2023)

Gradient-free online learning of subgrid-scale dynamics with neural emulators. - Hugo Frezat; Guillaume Balarac; Julien Le Sommer; Ronan Fablet (CoRR, 2023)

A DNN Framework for Learning Lagrangian Drift With Uncertainty. - Joseph Jenkins; Adeline Paiement; Yann Ourmières; Julien Le Sommer; Jacques Verron; Clément Ubelmann; Hervé Glotin (Appl. Intell., 2023)

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence. - Fei Er Yan; Hugo Frezat; Julien Le Sommer; Julian Mak; Karl Otness (CoRR, 2024)

Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. - Quentin Febvre; Clément Ubelmann; Julien Le Sommer; Ronan Fablet (IEEE Trans. Geosci. Remote. Sens., 2024)