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A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps


Nov 27, 2021
Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

* 6 pages, 3 figures, presented at the Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021) 

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Bridging observation, theory and numerical simulation of the ocean using Machine Learning


Apr 26, 2021
Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, Venkatramani Balaji

* Topical review submitted to Environmental Research Letters 

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NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations


Dec 08, 2020
Paula Harder, William Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanović, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris


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


Oct 09, 2020
Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat


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Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks


May 03, 2020
Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula

* Accepted for publication in IEEE IGARSS 2020 conference 

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Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models


Nov 20, 2019
Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet

* Accepted for the 2nd Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada 

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EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies


Nov 10, 2017
Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen


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Reinforcement Learning Based Algorithm for the Maximization of EV Charging Station Revenue


Sep 17, 2014
Stoyan Dimitrov, Redouane Lguensat


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