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Redouane Lguensat
24
Documents
Identifiants chercheurs
- redouane-lguensat
- 0000-0003-0226-9057
Présentation
Publications
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Filtering Internal tides from wide-swath altimeter data using Convolutional Neural Networks.IGARSS 2020: IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. ⟨10.1109/IGARSS39084.2020.9323531⟩
Communication dans un congrès
hal-02941320v1
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Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical ModelsNeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02366600v1
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Inferring hidden equations using Quasi-Geostrophic theory guided machine learningEGU 2019 : General Assembly 2019 of the European Geosciences Union, 2019, Vienna, Austria. pp.2019 - 15250
Communication dans un congrès
hal-02285699v1
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EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic EddiesInternational Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valence, Spain. pp.1764-1767, ⟨10.1109/IGARSS.2018.8518411⟩
Communication dans un congrès
hal-01929509v1
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Data-driven and learning-based approaches for the spatiotemporal interpolation of SLA fields from current and future satellite-derived altimeter data"25 Years of Progress in Radar Altimetry" Symposium, 2018, Punta Delgada, Azores, Portugal
Communication dans un congrès
hal-01800511v1
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Spatio-Temporal interpolation of altimeter-derived SSH fields using Analog Data Assimilation: A Case-Study In The South China SeaIGARSS 2017 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States. ⟨10.1109/IGARSS.2017.8127625⟩
Communication dans un congrès
hal-01799854v1
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Analog assimilation for high-dimensional geophysical dynamicsDSE 2017 : Workshop on Data Science and Environment, Jul 2017, Brest, France
Communication dans un congrès
hal-01586349v1
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Exploiting ocean observation and simulation big data to improve satellite-derived geophysical products: Analog strategiesBiDS'17: Big Data from Space Conference , Nov 2017, Toulouse, France
Communication dans un congrès
hal-01801014v1
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Data-driven assimilation of irregularly-sampled image time seriesICIP 2017 : IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8297094⟩
Communication dans un congrès
hal-01757749v1
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Toward data-driven methods in geophysics: the Analog Data AssimilationEGU 2017 : 19th EGU General Assembly, Apr 2017, Vienne, Austria
Communication dans un congrès
hal-01609890v1
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An Exemplar-based Hidden Markov Model framework for nonlinear state-space modelsEUSIPCO 2016 : European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1 - 5, ⟨10.1109/EUSIPCO.2016.7760667⟩
Communication dans un congrès
hal-01444213v1
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The analog data assimilation: application to 20 years of altimetric dataCI 2015 : 5th International Workshop on Climate Informatics, Sep 2015, Boulder, United States. pp.1 - 2, ⟨10.13140/RG.2.1.4030.5681⟩
Communication dans un congrès
hal-01356222v1
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Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic texturesICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. pp.2488-2492, ⟨10.1109/ICIP.2015.7351615⟩
Communication dans un congrès
hal-01271173v1
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Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing dataOCEANS 2014 - St John's : MTS/IEEE international conference, Sep 2014, St. John'S, Canada. pp.1 - 4, ⟨10.1109/OCEANS.2014.7002988⟩
Communication dans un congrès
hal-01188863v1
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Using archived datasets for missing data interpolation in ocean remote sensing observation seriesOCEANS 2016 - Shangai : MTS/IEEE international conference, Apr 2016, Shanghai, China. IEEE/MTS, pp.1 - 6, ⟨10.1109/OCEANSAP.2016.7485433⟩
Poster de conférence
hal-01355266v1
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A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps2022
Pré-publication, Document de travail
hal-03456259v2
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Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models2020
Pré-publication, Document de travail
hal-03084230v1
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Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks2020
Pré-publication, Document de travail
hal-03084229v1
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