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2020 – today
- 2024
[j56]Duong Nguyen
, Ronan Fablet:
A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction. IEEE Access 12: 21596-21609 (2024)- [j55]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet:
Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j54]Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. IEEE Trans. Geosci. Remote. Sens. 62: 1-8 (2024) - [c99]Perrine Bauchot, Angélique Drémeau, Florian Sévellec, Ronan Fablet:
Impact of Sampling Strategies on the Monitoring of Climate Regime Shifts with a Learning Data Assimilation Method. ICASSP 2024: 7555-7559 - [c98]Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Neural Ordinary Differential Equations with Trainable Solvers. ICASSP 2024: 7675-7679 - [c97]S. P. Tripathi, Bertrand Chapron, Fabrice Collard, Gilles Guitton, Manuel Lopez-Radcenco, Alexis Mouche, Ronan Fablet:
Deep Learning Inversion of Ocean Wave Spectrum from SAR Satellite Observations. ICASSP 2024: 8711-8715 - [c96]Clément Dorffer, Thi Thuy Nga Nguyen, Ronan Fablet, Frédéric Jourdin:
Adaptive Spatial and Multi-Variable Generalization of 4dvarnet in Ocean Colour Remote Sensing. IGARSS 2024: 7016-7019 - [i43]Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaïchouche, Pierre Tandeo, Ronan Fablet:
SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. CoRR abs/2402.01855 (2024) - [i42]Matthieu Blanke, Ronan Fablet, Marc Lelarge:
Neural Incremental Data Assimilation. CoRR abs/2406.15076 (2024) - 2023
- [j53]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [j52]Dorian Cazau, Paul Nguyen Hong Duc, J.-N. Druon, S. Matwins, Ronan Fablet:
Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea. Mach. Learn. 112(6): 2003-2024 (2023) - [j51]Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. Mach. Learn. Sci. Technol. 4(2): 25018 (2023) - [j50]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet:
Reduction of Rain-Induced Errors for Wind Speed Estimation on SAR Observations Using Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8586-8594 (2023) - [j49]Ronan Fablet, Quentin Febvre, Bertrand Chapron:
Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c95]Daria Botvynko, Carlos Granero-Belinchón, Simon Van Gennip, Abdesslam Benzinou, Ronan Fablet:
Deep Learning for Lagrangian Drift Simulation at The Sea Surface. ICASSP 2023: 1-5 - [c94]Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet:
Learning Neural Optimal Interpolation Models and Solvers. ICCS (4) 2023: 367-381 - [c93]Clément Dorffer, Frédéric Jourdin, David Mouillot, Rodolphe Devillers, Ronan Fablet, Quentin Febvre:
Data-Driven Reconstruction of Sea Surface Turbidity Dynamics with 4dVarNet Neural Scheme Applied To Gappy Satellite Images. IGARSS 2023: 4025-4027 - [c92]Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Clément Dorffer, Christophe Delacourt:
AI Data-Driven Sediments Dynamics Short Term Forecast From Observation in the Bay of Biscay. IGARSS 2023: 5348-5350 - [c91]J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
OceanBench: The Sea Surface Height Edition. NeurIPS 2023 - [i41]Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
Scale-aware neural calibration for wide swath altimetry observations. CoRR abs/2302.04497 (2023) - [i40]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet:
Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks. CoRR abs/2303.09200 (2023) - [i39]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i38]Nicolas Lafon, Philippe Naveau, Ronan Fablet:
A VAE Approach to Sample Multivariate Extremes. CoRR abs/2306.10987 (2023) - [i37]Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet:
Training neural mapping schemes for satellite altimetry with simulation data. CoRR abs/2309.14350 (2023) - [i36]J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
OceanBench: The Sea Surface Height Edition. CoRR abs/2309.15599 (2023) - [i35]Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin:
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR abs/2310.18948 (2023) - [i34]Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet:
Gradient-free online learning of subgrid-scale dynamics with neural emulators. CoRR abs/2310.19385 (2023) - [i33]Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems. CoRR abs/2311.10665 (2023) - [i32]Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet:
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields. CoRR abs/2312.08933 (2023) - 2022
- [j48]Amédée Roy, Sophie Bertrand, Ronan Fablet:
Deep inference of seabird dives from GPS-only records: Performance and generalization properties. PLoS Comput. Biol. 18(3) (2022) - [j47]Aurélien Colin, Ronan Fablet, Pierre Tandeo, Romain Husson, Charles Peureux, Nicolas Longépé, Alexis Mouche:
Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. Remote. Sens. 14(4): 851 (2022) - [j46]Jean-Marie Vient, Ronan Fablet, Frédéric Jourdin, Christophe Delacourt:
End-to-End Neural Interpolation of Satellite-Derived Sea Surface Suspended Sediment Concentrations. Remote. Sens. 14(16): 4024 (2022) - [j45]Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet:
Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156. Remote. Sens. 14(22): 5669 (2022) - [j44]Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. IEEE Trans. Intell. Transp. Syst. 23(6): 5655-5667 (2022) - [c90]Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann:
Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. ICASSP 2022: 1536-1540 - [c89]Aurélien Colin, Charles Peureux, Romain Husson, Ronan Fablet, Pierre Tandeo:
Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset. IGARSS 2022: 307-309 - [c88]Simon Benaïchouche, Clément Le Goff, Brahim Boussidi, François Rousseau, Ronan Fablet:
Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel. IGARSS 2022: 6821-6824 - [d1]Etienne Pauthenet, Loïc Bachelot, Anne-Marie Tréguier, Kevin Balem, Guillaume Maze, Fabien Roquet, Ronan Fablet, Pierre Tandeo:
Gulf Stream Daily Temperature, Salinity and Mixed Layer Depth fields from Ocean Stratification network (OSnet). Zenodo, 2022
- [i31]Said Ouala, Steven L. Brunton, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. CoRR abs/2202.05750 (2022) - [i30]Ronan Fablet, Bertrand Chapron:
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields. CoRR abs/2203.10640 (2022) - [i29]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning for quasi-geostrophic turbulence parametrization. CoRR abs/2204.03911 (2022) - [i28]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet:
Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks. CoRR abs/2207.07333 (2022) - [i27]Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet:
Learning-based estimation of in-situ wind speed from underwater acoustics. CoRR abs/2208.08912 (2022) - [i26]Daria Botvynko, Carlos Granero-Belinchón, Simon Van Gennip, Abdesslam Benzinou, Ronan Fablet:
Deep learning for Lagrangian drift simulation at the sea surface. CoRR abs/2211.09818 (2022) - [i25]J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer:
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. CoRR abs/2211.10444 (2022) - [i24]Ronan Fablet, Bertrand Chapron, Julien Le Sommer, Florian Sévellec:
Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets. CoRR abs/2211.13059 (2022) - 2021
- [j43]Ronan Fablet, Maxime Beauchamp, Lucas Drumetz, François Rousseau:
Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. Frontiers Appl. Math. Stat. 7: 655224 (2021) - [j42]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models. Remote. Sens. 13(16): 3162 (2021) - [j41]Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Baptiste Mengual, Ludivine Lafosse, Christophe Delacourt:
Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data. Remote. Sens. 13(17): 3537 (2021) - [c87]Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. EUSIPCO 2021: 1990-1994 - [c86]Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. ICASSP 2021: 2360-2364 - [c85]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models. ICASSP 2021: 4100-4104 - [c84]Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Baptiste Mengual, Ludivine Lafosse, Christophe Delacourt:
Data-Driven Spatio-Temporal Interpolation of Sea Surface Sediment Concentration from Satellite-Derived Data: An OSSE Case-Study in the Bay of Biscay. IGARSS 2021: 2576-2579 - [c83]Aurélien Colin, Charles Peureux, Romain Husson, Nicolas Longépé, Régis Rauzy, Ronan Fablet, Pierre Tandeo, Samir Saoudi, Alexis Mouche, Gérald Dibarboure:
Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments. IGARSS 2021: 4067-4070 - [c82]Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. IGARSS 2021: 7414-7417 - [c81]Maxime Beauchamp, Mohamed Mahmoud Amar, Quentin Febvre, Ronan Fablet:
End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data. IGARSS 2021: 7418-7421 - [i23]Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification. CoRR abs/2105.04999 (2021) - [i22]Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. CoRR abs/2105.08449 (2021) - [i21]Duong Nguyen, Ronan Fablet:
TrAISformer-A generative transformer for AIS trajectory prediction. CoRR abs/2109.03958 (2021) - [i20]Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann:
Joint calibration and mapping of satellite altimetry data using trainable variational models. CoRR abs/2110.03405 (2021) - [i19]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. CoRR abs/2111.06841 (2021) - 2020
- [j40]Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine 120: 103755 (2020) - [j39]François Rousseau, Lucas Drumetz, Ronan Fablet:
Residual Networks as Flows of Diffeomorphisms. J. Math. Imaging Vis. 62(3): 365-375 (2020) - [j38]Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron:
Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations. Remote. Sens. 12(22): 3806 (2020) - [j37]Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet:
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote. Sens. 12(24): 4156 (2020) - [c80]Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron:
Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations. CI 2020: 22-29 - [c79]Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet:
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP 2020: 2483-2487 - [c78]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. ICASSP 2020: 3862-3866 - [c77]Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. IGARSS 2020: 3490-3493 - [c76]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. IGARSS 2020: 3904-3907 - [c75]Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet:
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. MDM 2020: 264-268 - [i18]Olivier Pannekoucke, Ronan Fablet:
PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations. CoRR abs/2002.01029 (2020) - [i17]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. CoRR abs/2005.01090 (2020) - [i16]Ronan Fablet, Lucas Drumetz, François Rousseau:
Joint learning of variational representations and solvers for inverse problems with partially-observed data. CoRR abs/2006.03653 (2020) - [i15]Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau:
Learning Variational Data Assimilation Models and Solvers. CoRR abs/2007.12941 (2020) - [i14]Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet:
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. CoRR abs/2008.05443 (2020) - [i13]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. CoRR abs/2009.02296 (2020) - [i12]Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat:
Physical invariance in neural networks for subgrid-scale scalar flux modeling. CoRR abs/2010.04663 (2020)
2010 – 2019
- 2019
- [j36]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. 77 (2019) - [j35]Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Fenglin Tian, Bertrand Chapron, Ronan Fablet:
Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation. Remote. Sens. 11(7): 858 (2019) - [j34]Clément Dechesne, Sébastien Lefèvre, Rodolphe Vadaine, Guillaume Hajduch, Ronan Fablet:
Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning. Remote. Sens. 11(24): 2997 (2019) - [j33]Antoine d'Acremont, Ronan Fablet, Alexandre Baussard, Guillaume Quin:
CNN-Based Target Recognition and Identification for Infrared Imaging in Defense Systems. Sensors 19(9): 2040 (2019) - [j32]Manuel Lopez-Radcenco, Ananda Pascual, Laura Gómez-Navarro, Abdeldjalil Aïssa-El-Bey, Bertrand Chapron, Ronan Fablet:
Analog Data Assimilation of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations in the Western Mediterranean Sea. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2530-2540 (2019) - [c74]Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin:
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. ICASSP 2019: 765-769 - [c73]Said Ouala, Ananda Pascual, Ronan Fablet:
Residual Integration Neural Network. ICASSP 2019: 3622-3626 - [c72]Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Learning Stochastic Representations of Geophysical Dynamics. ICASSP 2019: 3877-3881 - [c71]Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron:
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS 2019: 7916-7919 - [c70]Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. IGARSS 2019: 9451-9454 - [c69]Said Ouala, Ronan Fablet, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. IGARSS 2019: 10059-10062 - [c68]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI 2019: 991-994 - [i11]Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin:
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. CoRR abs/1902.04980 (2019) - [i10]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. CoRR abs/1903.10335 (2019) - [i9]Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Latent Dynamics for Partially-Observed Chaotic Systems. CoRR abs/1907.02452 (2019) - [i8]Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-end learning of energy-based representations for irregularly-sampled signals and images. CoRR abs/1910.00556 (2019) - [i7]Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet:
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. CoRR abs/1911.08856 (2019) - [i6]Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. CoRR abs/1912.00682 (2019) - 2018
- [j31]Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein, Bertrand Chapron:
Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation. Remote. Sens. 10(2): 310 (2018) - [j30]Laura Gómez-Navarro, Ronan Fablet, Evan Mason, Ananda Pascual, Baptiste Mourre, Emmanuel Cosme, Julien Le Sommer:
SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering. Remote. Sens. 10(4): 599 (2018) - [j29]Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature. Remote. Sens. 10(12): 1864 (2018) - [j28]Ronan Fablet, Jacques Verron, Baptiste Mourre, Bertrand Chapron, Ananda Pascual:
Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products. IEEE Trans. Geosci. Remote. Sens. 56(5): 2518-2525 (2018) - [c67]Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams. DSAA 2018: 331-340 - [c66]Ronan Fablet, Said Ouala, Cédric Herzet:
Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics. EUSIPCO 2018: 1477-1481 - [c65]Guillaume Beaumont, Ronan Fablet, Angélique Drémeau:
An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments. LVA/ICA 2018: 385-394 - [c64]Redouane Lguensat, Miao Sun, Ronan Fablet, Pierre Tandeo, Evan Mason, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. IGARSS 2018: 1764-1767 - [c63]Said Ouala, Cédric Herzet, Ronan Fablet:
Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations. IGARSS 2018: 5628-5631 - [c62]Manuel Lopez-Radcenco, Ananda Pascual, Laura Gómez-Navarro, Abdeldjalil Aïssa-El-Bey, Ronan Fablet:
Analog Data Assimilation for Along-Track Nadir and Swot Altimetry Data in the Western Mediterranean Sea. IGARSS 2018: 7684-7687 - [i5]François Rousseau, Ronan Fablet:
Residual Networks as Geodesic Flows of Diffeomorphisms. CoRR abs/1805.09585 (2018) - [i4]Said Ouala, Cédric Herzet, Ronan Fablet:
Sea surface temperature prediction and reconstruction using patch-level neural network representations. CoRR abs/1806.00144 (2018) - [i3]