| The Analog Data Assimilation R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet Monthly Weather Review, 2017 | 161 | 2017 |
| 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 | 157 | 2018 |
| 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 | 84 | 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 | 50 | 2017 |
| 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 | 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 | 39 | 2019 |
| 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 | 38 | 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 | 38 | 2020 |
| 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 | 34 | 2014 |
| 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 | 32 | 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 | 23 | 2022 |
| 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 | 20 | 2016 |
| 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 | 15 | 2018 |
| 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 |
| 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 | 11 | 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 | 11 | 2014 |
| 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 | 9 | 2015 |
| 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 | 7 | 2023 |
| Nightvision: generating nighttime satellite imagery from infra-red observations P Harder, W Jones, R Lguensat, S Bouabid, J Fulton, D Quesada-Chacón, ... arXiv preprint arXiv:2011.07017, 2020 | 7 | 2020 |
| 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 | 6 | 2022 |
fablet ronanProfessor, IMT Atlantique, Lab-STICC, Odyssey group (Inria, Ifremer, IMT Atl., CNRS, UBO, UR))Verified email at imt-atlantique.fr
