Ronan Fablet
22
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Publications
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Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily ChannelIGARSS 2022: IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.6821-6824, ⟨10.1109/IGARSS46834.2022.9883870⟩
Communication dans un congrès
hal-04231162v1
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Unsupervised reconstruction of sea surface currents from AIS maritime traffic data using learnable variational modelsICASSP 2021: IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9415038⟩
Communication dans un congrès
hal-03139066v1
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END-TO-END LEARNING OF VARIATIONAL MODELS AND SOLVERS FOR THE RESOLUTION OF INTERPOLATION PROBLEMSICASSP 2021 : IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, United States. ⟨10.1109/ICASSP39728.2021.9414629⟩
Communication dans un congrès
hal-03139133v1
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Joint learning of variational data assimilation models and solversECMWF-ESA 2020 - Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Reading, United Kingdom
Communication dans un congrès
hal-02927356v1
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Réseaux antagonistes génératifs pour la reconstruction super-résolution et la segmentation en IRMExtraction et Gestion des Connaissances - Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC), 2020, Bruxelles, Belgique
Communication dans un congrès
hal-02387754v1
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End-to-end learning of optimal interpolators for geophysical dynamicsCI 2019 : 9th International Workshop on Climate Informatics, 2019, Paris, France
Communication dans un congrès
hal-02285701v1
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Learning differential transport operators for the joint super-resolution of sea surface tracers and prediction of subgrid-scale features.IGARSS 2019 : 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨10.1109/IGARSS.2019.8900571⟩
Communication dans un congrès
hal-02285698v1
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Simultaneous super-resolution and segmentation using a generative adversarial network: Application to neonatal brain MRIInternational Symposium on Biomedical Imaging (ISBI), 2019, Venice, Italy. pp.991-994, ⟨10.1109/ISBI.2019.8759255⟩
Communication dans un congrès
hal-01895163v1
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Super-résolution et segmentation simultanées d’IRM cérébrales néonatales par réseaux antagonistes génératifsCongrès National d’Imagerie du Vivant (CNIV), 2019, Paris, France
Communication dans un congrès
hal-01978970v1
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Brain MRI Super-Resolution using Deep 3D Convolutional NetworksISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.197 - 200, ⟨10.1109/ISBI.2017.7950500⟩
Communication dans un congrès
hal-01596811v1
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Missing data super-resolution using non-local and statistical priorsICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec, Canada. pp.676 - 680, ⟨10.1109/ICIP.2015.7350884⟩
Communication dans un congrès
hal-01271182v1
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Non-Local Super-resolution of Missing Data in Multi-sensor Observations of Sea Surface Geophysical FieldsIGARSS 2015: IEEE International Geoscience and Remote Sensing Symposium, Jul 2015, Milan, Italy. pp.TUP.PJ.8
Communication dans un congrès
hal-01292234v1
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The Analog Ensemble Kalman Filter and SmootherCI 2014 : 4th International Workshop on Climate Informatics, Sep 2014, Boulder, United States
Communication dans un congrès
hal-01188825v1
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Robust statistical registration of 3D ultrasound images using texture informationICIP 2003 : IEEE International Conference on Image Processing, Sep 2003, Barcelone, Spain. pp.581 - 584, ⟨10.1109/ICIP.2003.1247028⟩
Communication dans un congrès
hal-02341744v1
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Divergence-free continuous normalizing flows for uncertainty quantification2022
Pré-publication, Document de travail
hal-03813499v1
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Joint interpolation of multi-sensor sea surface geophysical fields using non-local and statistical priors2015
Pré-publication, Document de travail
hal-01216762v1
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