| 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 | 215 | 2018 |
| The Analog Data Assimilation R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet Monthly Weather Review, 2017 | 197 | 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 | 179 | 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 | 81 | 2022 |
| 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 | 70 | 2020 |
| 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 | 68 | 2021 |
| 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 | 67 | 2022 |
| 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 | 59 | 2017 |
| 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 | 47 | 2021 |
| 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 | 42 | 2019 |
| 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 | 37 | 2014 |
| 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 | 36 | 2023 |
| 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 | 26 | 2016 |
| 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 | 18 | 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 |
| Machine learning for fog-and-low-stratus nowcasting from Meteosat SEVIRI satellite images D Bari, N Lasri, R Souri, R Lguensat Atmosphere 14 (6), 953, 2023 | 14 | 2023 |
| Extreme April heat in Spain, Portugal, Morocco & Algeria almost impossible without climate change S Philip, S Kew, R Vautard, M Vahlberg, R Singh, F Driouech, R Lguensat, ... Imperial College London, 2023 | 14 | 2023 |
| Semi‐automatic tuning of coupled climate models with multiple intrinsic timescales: Lessons learned from the Lorenz96 model R Lguensat, J Deshayes, H Durand, V Balaji Journal of Advances in Modeling Earth Systems 15 (5), e2022MS003367, 2023 | 13 | 2023 |
| 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 | 13 | 2022 |
| 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 |
fablet ronanProfessor, IMT Atlantique, Lab-STICC, Odyssey group (Inria, Ifremer, IMT Atl., CNRS, UBO, UR))Verified email at imt-atlantique.fr
