Redouane Lguensat

According to our database, Redouane Lguensat authored at least 25 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

2022

An Efficient Algorithm for Ocean-Front Evolution Trend Recognition.

Yuting Yang, Kin-Man Lam, Xin Sun, Junyu Dong, Redouane Lguensat

Remote. Sens., 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

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

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

A posteriori learning for quasi-geostrophic turbulence parametrization.

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

CoRR, 2022

2021

A Deep Framework for Eddy Detection and Tracking From Satellite Sea Surface Height Data.

Xin Sun, Meng Zhang, Junyu Dong, Redouane Lguensat, Yuting Yang, Xirong Lu

IEEE Trans. Geosci. Remote. Sens., 2021

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

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

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

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

CoRR, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations.

William K. Jones, Redouane Lguensat, Anastase Alexandre Charantonis, Duncan Watson-Parris

Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019

Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation.

Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Fenglin Tian, Bertrand Chapron, Ronan Fablet

Remote. Sens., 2019

Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models.

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

CoRR, 2019

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

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

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

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

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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

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

Redouane Lguensat

PhD thesis, 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

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, Fenglin Tian, Ronan Fablet

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Data-driven assimilation of irregularly-sampled image time series.

Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Bertrand Chapron

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Ocean Front Detection From Instant Remote Sensing SST Images.

Yuting Yang, Junyu Dong, Xin Sun, Redouane Lguensat, Muwei Jian, Xinhua Wang

IEEE Geosci. Remote. Sens. Lett., 2016

An exemplar-based hidden Markov model framework for nonlinear state-space models.

Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures.

Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

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

Stoyan Dimitrov, Redouane Lguensat

CoRR, 2014