Julien Le Sommer

According to our database, Julien Le Sommer authored at least 26 papers between 2018 and 2025.

Collaborative distances:

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

2025

Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data.

Daria Botvynko, Pierre Haslée, Lucile Gaultier, Bertrand Chapron, Clément de Boyer Montégut, Anass El Aouni, Julien Le Sommer, Ronan Fablet

CoRR, December, 2025

Towards fully differentiable neural ocean model with Veros.

Etienne Meunier, Said Ouala, Hugo Frezat, Julien Le Sommer, Ronan Fablet

CoRR, November, 2025

Distribution of Phytoplankton Assemblages Accross Fine-Scale Structures Revealed by Earth Observation Data: A Mediterranean Sea Case Study.

Théo Garcia, Louise Rousselet, Laurina Oms, Xavier Milhaud, Andrea Doglioli, Monique Messié, Claire Lacour, Pierre Vandekerkhove, Francesco d'Ovidio, Julien Le Sommer, Gérald Grégori, Denys Pommeret

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024

Learning Machine Learning with Lorenz-96.

Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Berner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur P. Guillaumin, Shubham Gupta, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Ziwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna

Dataset, December, 2024

m2lines/L96_demo: Final version for JOSE with DOIs.

Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Berner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur Guillaumin, Shubham Gupta, Johanna Goldman, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Ziwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna

Dataset, August, 2024

m2lines/L96_demo: Final version for JOSE.

Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Brenner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur Guillaumin, Shubham Gupta, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Zhiwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna

Dataset, August, 2024

m2lines/L96_demo: v1.0.1.

Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Berner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Shubham Gupta, Arthur Guillaumin, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Zhiwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna

Dataset, August, 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

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

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

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

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