Julien Le Sommer

Orcid: 0000-0002-6882-2938

According to our database1, Julien Le Sommer authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Scale-Aware Neural Calibration for Wide Swath Altimetry Observations.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
A DNN Framework for Learning Lagrangian Drift With Uncertainty.
Appl. Intell., October, 2023

Gradient-free online learning of subgrid-scale dynamics with neural emulators.
CoRR, 2023

Training neural mapping schemes for satellite altimetry with simulation data.
CoRR, 2023

OceanBench: The Sea Surface Height Edition.
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.
CoRR, 2022

Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables.
CoRR, 2022

A posteriori learning for quasi-geostrophic turbulence parametrization.
CoRR, 2022

Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps.
CoRR, 2021

2020
Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission.
Remote. Sens., 2020

Physical invariance in neural networks for subgrid-scale scalar flux modeling.
CoRR, 2020

Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks.
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.
Remote. Sens., 2019

Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models.
CoRR, 2019

Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features.
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.
Remote. Sens., 2018


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