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Redouane Lguensat
8
Documents
Identifiants chercheurs
- redouane-lguensat
- 0000-0003-0226-9057
Présentation
Publications
- 8
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- 5
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A posteriori learning for quasi‐geostrophic turbulence parametrizationJournal of Advances in Modeling Earth Systems, 2022, pp.1-35. ⟨10.1029/2022MS003124⟩
Article dans une revue
hal-03808230v1
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Physical invariance in neural networks for subgrid-scale scalar flux modelingPhysical Review Fluids, 2021, 6 (2), ⟨10.1103/PhysRevFluids.6.024607⟩
Article dans une revue
hal-03084215v2
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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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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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