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2020 – today
- 2023
[i13]William Yik, Maike Sonnewald
, Mariana C. A. Clare, Redouane Lguensat:
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning. CoRR abs/2310.13916 (2023)- 2022
- [j6]Yuting Yang, Kin-Man Lam, Xin Sun, Junyu Dong, Redouane Lguensat:
An Efficient Algorithm for Ocean-Front Evolution Trend Recognition. Remote. Sens. 14(2): 259 (2022) - [i12]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning for quasi-geostrophic turbulence parametrization. CoRR abs/2204.03911 (2022) - [i11]Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, Venkatramani Balaji:
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics. CoRR abs/2205.00202 (2022) - [i10]Redouane Lguensat, Julie Deshayes, Homer Durand, Venkatramani Balaji:
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model. CoRR abs/2208.06243 (2022) - [i9]J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer:
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. CoRR abs/2211.10444 (2022) - 2021
- [j5]Xin Sun, Meng Zhang, Junyu Dong, Redouane Lguensat, Yuting Yang, Xirong Lu:
A Deep Framework for Eddy Detection and Tracking From Satellite Sea Surface Height Data. IEEE Trans. Geosci. Remote. Sens. 59(9): 7224-7234 (2021) - [i8]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. CoRR abs/2111.06841 (2021) - 2020
- [c8]William K. Jones, Redouane Lguensat, Anastase Alexandre Charantonis, Duncan Watson-Parris:
The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations. CI 2020: 134-138 - [c7]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. IGARSS 2020: 3904-3907 - [i7]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. CoRR abs/2005.01090 (2020) - [i6]Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat:
Physical invariance in neural networks for subgrid-scale scalar flux modeling. CoRR abs/2010.04663 (2020) - [i5]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:
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. CoRR abs/2011.07017 (2020)
2010 – 2019
- 2019
- [j4]Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Fenglin Tian, Bertrand Chapron, Ronan Fablet:
Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation. Remote. Sens. 11(7): 858 (2019) - [c6]Hatim Chergui, Kamel Tourki, Redouane Lguensat, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in Sub-6 GHz/mmWave 5G Networks. IWCMC 2019: 2031-2035 - [i4]Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet:
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. CoRR abs/1911.08856 (2019) - 2018
- [j3]Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein, Bertrand Chapron:
Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation. Remote. Sens. 10(2): 310 (2018) - [c5]Redouane Lguensat, Miao Sun, Ronan Fablet, Pierre Tandeo, Evan Mason, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. IGARSS 2018: 1764-1767 - [i3]Hatim Chergui, Kamel Tourki, Redouane Lguensat, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in sub-6 GHz/mmWave 5G Networks. CoRR abs/1809.01583 (2018) - 2017
- [b1]Redouane Lguensat:
Learning from ocean remote sensing data. (Apprentissage depuis les données de télédétection de l'océan). Ecole nationale supérieure Mines-Télécom Atlantique, France, 2017 - [j2]Ronan Fablet, Phi Huynh Viet, Redouane Lguensat:
Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields. IEEE Trans. Computational Imaging 3(4): 647-657 (2017) - [c4]Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Bertrand Chapron:
Data-driven assimilation of irregularly-sampled image time series. ICIP 2017: 4302-4306 - [c3]Redouane Lguensat, Miao Sun, Ge Chen, Fenglin Tian, Ronan Fablet:
Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: A case-study in the south china sea. IGARSS 2017: 2979-2982 - [i2]Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. CoRR abs/1711.03954 (2017) - 2016
- [j1]Yuting Yang, Junyu Dong, Xin Sun, Redouane Lguensat, Muwei Jian, Xinhua Wang:
Ocean Front Detection From Instant Remote Sensing SST Images. IEEE Geosci. Remote. Sens. Lett. 13(12): 1960-1964 (2016) - [c2]Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo:
An exemplar-based hidden Markov model framework for nonlinear state-space models. EUSIPCO 2016: 2340-2344 - 2015
- [c1]Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot:
Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. ICIP 2015: 4288-4292 - 2014
- [i1]Stoyan Dimitrov, Redouane Lguensat:
Reinforcement Learning Based Algorithm for the Maximization of EV Charging Station Revenue. CoRR abs/1407.1291 (2014)
Coauthor Index
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