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Ronan Fablet

9
Documents

Publications

duong-nguyen
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Detection of Abnormal Vessel Behaviors from AIS data using GeoTrackNet: from the Laboratory to the Ocean

Duong Nguyen , Matthieu Simonin , Guillaume Hajduch , Rodolphe Vadaine , Cédric Tedeschi
MBDW 2020 : 2nd Maritime Big Data Workshop part of MDM 2020 : 21st IEEE International Conference on Mobile Data Management, Jun 2020, Versailles, France. pp.264-268, ⟨10.1109/MDM48529.2020.00061⟩
Communication dans un congrès hal-02523279v2
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Assimilation-based Learning of Chaotic Dynamical Systems from Noisy and Partial Data

Duong Nguyen , Said Ouala , Lucas Drumetz , Ronan Fablet
ICASSP 2020 : International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨10.1109/ICASSP40776.2020.9054718⟩
Communication dans un congrès hal-02436060v2
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Learning Chaotic and Stochastic Dynamics from Noisy and Partial Observation using Variational Deep Learning

Duong Nguyen , Said Ouala , Lucas Drumetz , Ronan Fablet
CI'2020 : 10th International Conference on Climate Informatics, Sep 2020, Oxford, United Kingdom
Communication dans un congrès hal-02941313v1
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Learning Constrained Dynamical Embeddings for Geophysical Dynamics

Said Ouala , Steven L Brunton , Duong Nguyen , Lucas Drumetz , Ronan Fablet
CI 2019 : 9th International Workshop on Climate Informatics, 2019, Paris, France
Communication dans un congrès hal-02285700v1

Data assimilation schemes as a framework for learning dynamical model from partial and noisy observations

Said Ouala , Ronan Fablet , Duong Nguyen , Lucas Drumetz , Bertrand Chapron
EGU 2019 : General Assembly 2019 of the European Geosciences Union, Apr 2019, Vienna, Austria
Communication dans un congrès hal-02110359v1
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Learning ocean dynamical priors from noisy data using assimilation-derived neural nets

Said Ouala , Duong Nguyen , Cédric Herzet , Lucas Drumetz , Bertrand Chapron
IGARSS 2019 - International Geoscience and remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.1-3, ⟨10.1109/IGARSS.2019.8900345⟩
Communication dans un congrès hal-02285693v1