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A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps


Nov 12, 2021
Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

* 6 pages, 3 figures, presented at the Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021) 

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Joint calibration and mapping of satellite altimetry data using trainable variational models


Oct 07, 2021
Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann


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TrAISformer-A generative transformer for AIS trajectory prediction


Sep 08, 2021
Duong Nguyen, Ronan Fablet


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Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme


May 18, 2021
Noura Dridi, Lucas Drumetz, Ronan Fablet


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Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification


May 11, 2021
Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet


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Physical invariance in neural networks for subgrid-scale scalar flux modeling


Oct 09, 2020
Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat


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Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations


Sep 30, 2020
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet


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Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean


Aug 12, 2020
Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet


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Learning Variational Data Assimilation Models and Solvers


Jul 25, 2020
Ronan Fablet, Bertrand Chapron, Lucas. Drumetz, Etienne Memin, Olivier Pannekoucke, Francois Rousseau


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Joint learning of variational representations and solvers for inverse problems with partially-observed data


Jun 05, 2020
Ronan Fablet, Lucas Drumetz, Francois Rousseau

* 10 pages, 2 figures 

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Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks


May 03, 2020
Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula

* Accepted for publication in IEEE IGARSS 2020 conference 

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PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations


Feb 03, 2020
Olivier Pannekoucke, Ronan Fablet


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GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection


Dec 02, 2019
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet


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Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models


Nov 20, 2019
Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet

* Accepted for the 2nd Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada 

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End-to-end learning of energy-based representations for irregularly-sampled signals and images


Oct 01, 2019
Ronan Fablet, Lucas Drumetz, François Rousseau


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Learning Latent Dynamics for Partially-Observed Chaotic Systems


Jul 04, 2019
Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet


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EM-like Learning Chaotic Dynamics from Noisy and Partial Observations


Mar 25, 2019
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet


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Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection


Feb 13, 2019
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin

* Accepted to ICASSP 2019 

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A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams


Aug 07, 2018
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet

* Accepted to IEEE DSAA 2018 

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Residual Networks as Geodesic Flows of Diffeomorphisms


Jun 22, 2018
Francois Rousseau, Ronan Fablet


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Sea surface temperature prediction and reconstruction using patch-level neural network representations


Jun 01, 2018
Said Ouala, Cedric Herzet, Ronan Fablet


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Bilinear residual Neural Network for the identification and forecasting of dynamical systems


Dec 19, 2017
Ronan Fablet, Said Ouala, Cedric Herzet

* Submitted 

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EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies


Nov 10, 2017
Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen


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Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data


Sep 27, 2017
Manuel López-Radcenco, Ronan Fablet, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot

* 4 pages, 3 figures 

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