Julien Le Sommer

26 papers A* 1C 2Misc 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data. CoRR Daria Botvynko, Pierre Haslée, Lucile Gaultier, Bertrand Chapron, Clément de Boyer Montégut, Anass El Aouni, Julien Le Sommer, Ronan Fablet
2025	J	`jnl`	Towards fully differentiable neural ocean model with Veros. CoRR Etienne Meunier, Said Ouala, Hugo Frezat, Julien Le Sommer, Ronan Fablet
2024	J	`jnl`	Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence. CoRR Fei Er Yan, Hugo Frezat, Julien Le Sommer, Julian Mak, Karl Otness
2024	J	`jnl`	Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. IEEE Trans. Geosci. Remote. Sens. Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet
2023	J	`jnl`	A DNN Framework for Learning Lagrangian Drift With Uncertainty. Appl. Intell. Joseph Jenkins, Adeline Paiement, Yann Ourmières, Julien Le Sommer, Jacques Verron, Clément Ubelmann, Hervé Glotin
2023	J	`jnl`	Gradient-free online learning of subgrid-scale dynamics with neural emulators. CoRR Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet
2023	A*	`conf`	OceanBench: The Sea Surface Height Edition. NeurIPS J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet
2023	J	`jnl`	OceanBench: The Sea Surface Height Edition. CoRR J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet
2023	J	`jnl`	Scale-aware neural calibration for wide swath altimetry observations. CoRR Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet
2023	J	`jnl`	Training neural mapping schemes for satellite altimetry with simulation data. CoRR Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet
2022	J	`jnl`	A DNN Framework for Learning Lagrangian Drift With Uncertainty. CoRR Joseph Jenkins, Adeline Paiement, Yann Ourmières, Julien Le Sommer, Jacques Verron, Clément Ubelmann, Hervé Glotin
2022	J	`jnl`	A posteriori learning for quasi-geostrophic turbulence parametrization. CoRR Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat
2022	J	`jnl`	Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets. CoRR Ronan Fablet, Bertrand Chapron, Julien Le Sommer, Florian Sévellec
2022	Misc	`conf`	Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. ICASSP Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann
2022	J	`jnl`	Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. CoRR J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer
2021	J	`jnl`	A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. CoRR Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat
2021	J	`jnl`	Joint calibration and mapping of satellite altimetry data using trainable variational models. CoRR Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann
2021	—	`book`	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
2020	J	`jnl`	Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission. Remote. Sens. Laura Gómez-Navarro, Emmanuel Cosme, Julien Le Sommer, Nicolas Papadakis, Ananda Pascual
2020	J	`jnl`	Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. CoRR Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
2020	C	`conf`	Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. IGARSS Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
2020	J	`jnl`	Physical invariance in neural networks for subgrid-scale scalar flux modeling. CoRR Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat
2019	C	`conf`	Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron
2019	J	`jnl`	Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. CoRR Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet
2019	J	`jnl`	Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation. Remote. Sens. Sammy Metref, Emmanuel Cosme, Julien Le Sommer, Nora Poel, Jean-Michel Brankart, Jacques Verron, Laura Gómez-Navarro
2018	J	`jnl`	SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering. Remote. Sens. Laura Gómez-Navarro, Ronan Fablet, Evan Mason, Ananda Pascual, Baptiste Mourre, Emmanuel Cosme, Julien Le Sommer