Julien Le Sommer

According to our database, Julien Le Sommer authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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., October, 2023

Gradient-free online learning of subgrid-scale dynamics with neural emulators.

Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet

CoRR, 2023

Training neural mapping schemes for satellite altimetry with simulation data.

Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet

CoRR, 2023

OceanBench: The Sea Surface Height Edition.

J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

A posteriori learning for quasi-geostrophic turbulence parametrization.

Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

CoRR, 2022

Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models.

Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann

Proceedings of the IEEE International Conference on Acoustics, 2022

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

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

Physical invariance in neural networks for subgrid-scale scalar flux modeling.

Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat

CoRR, 2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models.

Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet

CoRR, 2019

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, Bertrand Chapron

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

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