Redouane Lguensat

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fablet ronanProfessor, IMT Atlantique, Lab-STICC, Odyssey group (Inria, Ifremer, IMT Atl., CNRS, UBO, UR))Verificeret mail på imt-atlantique.fr
Pierre TandeoIMT-Atlantique, Lab-STICC, RIKENVerificeret mail på imt-atlantique.fr
Maike SonnewaldUniversity of California DavisVerificeret mail på ucdavis.edu
V. BalajiPrinceton UniversityVerificeret mail på princeton.edu
Julien Le SommerComputational Oceanographer, CNRS, Grenoble, FranceVerificeret mail på univ-grenoble-alpes.fr
Pierre AilliotUniversité de Bretagne OccidentaleVerificeret mail på univ-brest.fr
Viet-Phi HuynhOrangeVerificeret mail på orange.com
Junyu DongOcean University of ChinaVerificeret mail på ouc.edu.cn
Evan MasonIMEDEAVerificeret mail på imedea.uib-csic.es
Guillaume BalaracLaboratoire des Ecoulements Géophysiques et Industriels (Grenoble, Rhône-Alpes, FR)Verificeret mail på grenoble-inp.fr
Xin SunTechnical University of MunichVerificeret mail på ieee.org
Julien BrajardNERSCVerificeret mail på nersc.no
Hugo FrezatPostdoc, IPGP, Univ. Paris CitéVerificeret mail på ipgp.fr
Manuel PulidoProfessor, Department of Physics, Universidad Nacional del NordesteVerificeret mail på exa.unne.edu.ar
Mariana C A ClareScientist, ECMWFVerificeret mail på ecmwf.int
Fernando PerezAssociate Researcher, UC BerkeleyVerificeret mail på berkeley.edu
Bert WoutersDelft University of TechnologyVerificeret mail på tudelft.nl
Peter DuebenRoyal Society University Research Fellow at the European Weather Centre (ECMWF)Verificeret mail på ecmwf.int
Dani JonesAssociate Research Scientist (Research Faculty), Cooperative Institute for Great Lakes ResearchVerificeret mail på umich.edu
Emmanuel CosmeEnseignant-chercheur, Université de Grenoble AlpesVerificeret mail på univ-grenoble-alpes.fr

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Redouane Lguensat

IPSL - IRD - Sorbonne Université

Verificeret mail på ipsl.fr - Startside

Computer vision Inverse problems Machine Learning Climate Informatics Numerical Modeling


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
EddyNet: A deep neural network for pixel-wise classification of oceanic eddies R Lguensat, M Sun, R Fablet, P Tandeo, E Mason, G Chen IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018	186	2018
The Analog Data Assimilation R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet Monthly Weather Review, 2017	178	2017
Bridging observations, theory and numerical simulation of the ocean using machine learning M Sonnewald, R Lguensat, DC Jones, PD Dueben, J Brajard, V Balaji Environmental Research Letters 16 (7), 073008, 2021	130	2021
A posteriori learning for quasi‐geostrophic turbulence parametrization H Frezat, J Le Sommer, R Fablet, G Balarac, R Lguensat Journal of Advances in Modeling Earth Systems 14 (11), e2022MS003124, 2022	57	2022
Physical invariance in neural networks for subgrid-scale scalar flux modeling H Frezat, G Balarac, J Le Sommer, R Fablet, R Lguensat Physical Review Fluids 6 (2), 024607, 2021	57	2021
Data-driven Models for the Spatio-Temporal Interpolation of satellite-derived SST Fields R Fablet, PH Viet, R Lguensat IEEE Transactions on Computational Imaging 3 (4), 647-657, 2017	56	2017
A deep framework for eddy detection and tracking from satellite sea surface height data X Sun, M Zhang, J Dong, R Lguensat, Y Yang, X Lu IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7224-7234, 2020	55	2020
Explainable artificial intelligence for Bayesian neural networks: Toward trustworthy predictions of ocean dynamics MCA Clare, M Sonnewald, R Lguensat, J Deshayes, V Balaji Journal of Advances in Modeling Earth Systems 14 (11), e2022MS003162, 2022	45	2022
Data-driven interpolation of sea level anomalies using analog data assimilation R Lguensat, PH Viet, M Sun, G Chen, T Fenglin, B Chapron, R Fablet Remote Sensing 11 (7), 858, 2019	41	2019
Revealing the impact of global heating on North Atlantic circulation using transparent machine learning M Sonnewald, R Lguensat Journal of Advances in Modeling Earth Systems 13 (8), e2021MS002496, 2021	40	2021
Reinforcement learning based algorithm for the maximization of EV charging station revenue S Dimitrov, R Lguensat 2014 International Conference on Mathematics and Computers in Sciences and …, 2014	35	2014
Ocean front detection from instant remote sensing SST images Y Yang, J Dong, X Sun, R Lguensat, M Jian, X Wang IEEE Geoscience and Remote Sensing Letters 13 (12), 1960-1964, 2016	23	2016
Universal differential equations for glacier ice flow modelling J Bolibar, F Sapienza, F Maussion, R Lguensat, B Wouters, F Pérez Geoscientific Model Development Discussions 2023, 1-26, 2023	21	2023
Spatio-temporal interpolation of cloudy SST fields using conditional analog data assimilation R Fablet, P Huynh Viet, R Lguensat, PH Horrein, B Chapron Remote Sensing 10 (2), 310, 2018	18	2018
Learning generalized quasi-geostrophic models using deep neural numerical models R Lguensat, JL Sommer, S Metref, E Cosme, R Fablet arXiv preprint arXiv:1911.08856, 2019	13	2019
A Southern Ocean supergyre as a unifying dynamical framework identified by physics-informed machine learning M Sonnewald, KA Reeve, R Lguensat Communications Earth & Environment 4 (1), 153, 2023	12	2023
Classification algorithms for semi-blind uplink/downlink decoupling in sub-6 GHz/mmWave 5G networks H Chergui, K Tourki, R Lguensat, M Benjillali, C Verikoukis, M Debbah 2019 15th International Wireless Communications & Mobile Computing …, 2019	12	2019
Spatio-temporal interpolation of sea surface temperature using high resolution remote sensing data R Lguensat, P Tandeo, R Fablet, R Garello 2014 Oceans-St. John's, 1-4, 2014	12	2014
An efficient algorithm for ocean-front evolution trend recognition Y Yang, KM Lam, X Sun, J Dong, R Lguensat Remote Sensing 14 (2), 259, 2022	10	2022
The analog data assimilation: application to 20 years of altimetric data P Tandeo, P Ailliot, B Chapron, R Lguensat, R Fablet CI 2015: 5th International Workshop on Climate Informatics, 1-2, 2015	10	2015

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