• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 201 matches

• 2024
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
  Neural Ordinary Differential Equations with Trainable Solvers. ICASSP 2024: 7675-7679
• 
  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
• 
  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
• 
  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)
• 
  Matthieu Blanke, Ronan Fablet, Marc Lelarge:
  Neural Incremental Data Assimilation. CoRR abs/2406.15076 (2024)
• 2023
• 
  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)
• 
  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)
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet:
  Learning Neural Optimal Interpolation Models and Solvers. ICCS (4) 2023: 367-381
• 
  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
• 
  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
• 
  J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
  OceanBench: The Sea Surface Height Edition. NeurIPS 2023
• 
  Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
  Scale-aware neural calibration for wide swath altimetry observations. CoRR abs/2302.04497 (2023)
• 
  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)
• 
  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)
• 
  Nicolas Lafon, Philippe Naveau, Ronan Fablet:
  A VAE Approach to Sample Multivariate Extremes. CoRR abs/2306.10987 (2023)
• 
  Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet:
  Training neural mapping schemes for satellite altimetry with simulation data. CoRR abs/2309.14350 (2023)
• 
  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)
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  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)

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