Reinforcement Learning Based Algorithm for the Maximization of EV Charging Station Revenue. - Stoyan Dimitrov; Redouane Lguensat (CoRR, 2014)

Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. - Redouane Lguensat; Pierre Tandeo; Ronan Fablet; Pierre Ailliot (ICIP, 2015)

An exemplar-based hidden Markov model framework for nonlinear state-space models. - Redouane Lguensat; Ronan Fablet; Pierre Ailliot; Pierre Tandeo (EUSIPCO, 2016)

Ocean Front Detection From Instant Remote Sensing SST Images. - Yuting Yang 001; Junyu Dong; Xin Sun 003; Redouane Lguensat; Muwei Jian; Xinhua Wang (IEEE Geosci. Remote. Sens. Lett., 2016)

Data-driven assimilation of irregularly-sampled image time series. - Ronan Fablet; Phi Huynh Viet; Redouane Lguensat; Bertrand Chapron (ICIP, 2017)

Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: A case-study in the south china sea. - Redouane Lguensat; Miao Sun; Ge Chen 002; Fenglin Tian; Ronan Fablet (IGARSS, 2017)

Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields. - Ronan Fablet; Phi Huynh Viet; Redouane Lguensat (IEEE Trans. Computational Imaging, 2017)

Learning from ocean remote sensing data. (Apprentissage depuis les données de télédétection de l'océan). - Redouane Lguensat (2017)

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. - Redouane Lguensat; Miao Sun; Ronan Fablet; Pierre Tandeo; Evan Mason; Ge Chen 002 (IGARSS, 2018)

Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation. - Ronan Fablet; Phi Huynh Viet; Redouane Lguensat; Pierre-Henri Horrein; Bertrand Chapron (Remote. Sens., 2018)

Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in Sub-6 GHz/mmWave 5G Networks. - Hatim Chergui; Kamel Tourki; Redouane Lguensat; Mustapha Benjillali; Christos V. Verikoukis; Mérouane Debbah (IWCMC, 2019)

Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. - Redouane Lguensat; Julien Le Sommer; Sammy Metref; Emmanuel Cosme; Ronan Fablet (CoRR, 2019)

Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation. - Redouane Lguensat; Phi Huynh Viet; Miao Sun; Ge Chen 002; Fenglin Tian; Bertrand Chapron; Ronan Fablet (Remote. Sens., 2019)

The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations. - William K. Jones; Redouane Lguensat; Anastase Alexandre Charantonis; Duncan Watson-Parris (CI, 2020)

Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. - Redouane Lguensat; Ronan Fablet; Julien Le Sommer; Sammy Metref; Emmanuel Cosme; Kaouther Ouenniche; Lucas Drumetz; Jonathan Gula (IGARSS, 2020)

Physical invariance in neural networks for subgrid-scale scalar flux modeling. - Hugo Frezat; Guillaume Balarac; Julien Le Sommer; Ronan Fablet; Redouane Lguensat (CoRR, 2020)

NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. - Paula Harder; William K. Jones; Redouane Lguensat; Shahine Bouabid; James Fulton; Dánell Quesada-Chacón; Aris Marcolongo; Sofija Stefanovic; Yuhan Rao; Peter Manshausen; Duncan Watson-Parris (CoRR, 2020)

A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2021)

A Deep Framework for Eddy Detection and Tracking From Satellite Sea Surface Height Data. - Xin Sun 003; Meng Zhang; Junyu Dong; Redouane Lguensat; Yuting Yang 001; Xirong Lu (IEEE Trans. Geosci. Remote. Sens., 2021)

A posteriori learning for quasi-geostrophic turbulence parametrization. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2022)

Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics. - Mariana C. A. Clare; Maike Sonnewald; Redouane Lguensat; Julie Deshayes; Venkatramani Balaji (CoRR, 2022)

Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model. - Redouane Lguensat; Julie Deshayes; Homer Durand; Venkatramani Balaji (CoRR, 2022)

Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. - J. Emmanuel Johnson; Redouane Lguensat; Ronan Fablet; Emmanuel Cosme; Julien Le Sommer (CoRR, 2022)

An Efficient Algorithm for Ocean-Front Evolution Trend Recognition. - Yuting Yang 001; Kin-Man Lam 001; Xin Sun 003; Junyu Dong; Redouane Lguensat (Remote. Sens., 2022)

Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning. - William Yik; Maike Sonnewald; Mariana C. A. Clare; Redouane Lguensat (CoRR, 2023)

Learning to generate physical ocean states: Towards hybrid climate modeling. - Etienne Meunier; David Kamm; Guillaume Gachon; Redouane Lguensat; Julie Deshayes (CoRR, 2025)

Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents. - Abdessamad El-Kabid; Loubna Benabbou; Redouane Lguensat; Alex Hernández-García (CoRR, 2025)