default search action
Julien Le Sommer
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j5]Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. IEEE Trans. Geosci. Remote. Sens. 62: 1-8 (2024) - 2023
- [j4]Joseph Jenkins, Adeline Paiement, Yann Ourmières, Julien Le Sommer, Jacques Verron, Clément Ubelmann, Hervé Glotin:
A DNN Framework for Learning Lagrangian Drift With Uncertainty. Appl. Intell. 53(20): 23729-23739 (2023) - [c4]J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
OceanBench: The Sea Surface Height Edition. NeurIPS 2023 - [i13]Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
Scale-aware neural calibration for wide swath altimetry observations. CoRR abs/2302.04497 (2023) - [i12]Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet:
Training neural mapping schemes for satellite altimetry with simulation data. CoRR abs/2309.14350 (2023) - [i11]J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
OceanBench: The Sea Surface Height Edition. CoRR abs/2309.15599 (2023) - [i10]Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet:
Gradient-free online learning of subgrid-scale dynamics with neural emulators. CoRR abs/2310.19385 (2023) - 2022
- [c3]Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann:
Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. ICASSP 2022: 1536-1540 - [i9]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning for quasi-geostrophic turbulence parametrization. CoRR abs/2204.03911 (2022) - [i8]Joseph Jenkins, Adeline Paiement, Yann Ourmières, Julien Le Sommer, Jacques Verron, Clément Ubelmann, Hervé Glotin:
A DNN Framework for Learning Lagrangian Drift With Uncertainty. CoRR abs/2204.05891 (2022) - [i7]J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer:
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. CoRR abs/2211.10444 (2022) - [i6]Ronan Fablet, Bertrand Chapron, Julien Le Sommer, Florian Sévellec:
Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets. CoRR abs/2211.13059 (2022) - 2021
- [i5]Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann:
Joint calibration and mapping of satellite altimetry data using trainable variational models. CoRR abs/2110.03405 (2021) - [i4]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. CoRR abs/2111.06841 (2021) - 2020
- [j3]Laura Gómez-Navarro, Emmanuel Cosme, Julien Le Sommer, Nicolas Papadakis, Ananda Pascual:
Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission. Remote. Sens. 12(4): 734 (2020) - [c2]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. IGARSS 2020: 3904-3907 - [i3]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. CoRR abs/2005.01090 (2020) - [i2]Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat:
Physical invariance in neural networks for subgrid-scale scalar flux modeling. CoRR abs/2010.04663 (2020)
2010 – 2019
- 2019
- [j2]Sammy Metref, Emmanuel Cosme, Julien Le Sommer, Nora Poel, Jean-Michel Brankart, Jacques Verron, Laura Gómez-Navarro:
Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation. Remote. Sens. 11(11): 1336 (2019) - [c1]Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron:
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS 2019: 7916-7919 - [i1]Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet:
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. CoRR abs/1911.08856 (2019) - 2018
- [j1]Laura Gómez-Navarro, Ronan Fablet, Evan Mason, Ananda Pascual, Baptiste Mourre, Emmanuel Cosme, Julien Le Sommer:
SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering. Remote. Sens. 10(4): 599 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-26 23:41 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint