Supervision : Dominique BÉRÉZIAT

Data assimilation and interpretability of Machine Learning models

2020-2022 Publications

• 2022
  • A. Filoche, Th. Archambault, A. Charantonis, D. Béréziat : “Statistics-free interpolation of ocean observations with deep spatio-temporal prior”, ECML/PKDD Workshop on Machine Learning for Earth Observation and Prediction (MACLEAN), Grenoble, France (2022)
  • A. Filoche, D. Béréziat : “Simultaneous Assimilation and Downscaling of Simulated Sea Surface Heights with Deep Image Prior”, RFIAP (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception), Vannes, France (2022)
  • A. Filoche, D. Béréziat, A. Charantonis : “Deep prior in variational assimilation to estimate ocean circulation without explicit regularization”, Climate Informatics, Asheville, NC, United States (2022)
  • Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat : “Unsupervised Downscaling of sea surface height with Deep Image Prior”, IA for Earth Sciences Workshop The International Conference on Learning Representations (ICLR), Virtual conference, United States (2022)
• 2021
  • A. Filoche, D. Béréziat, J. Brajard, A. Charantonis : “Variational assimilation of Geophysical images leveraging deep learning tools”, ORASIS 2021, Saint Ferréol, France (2021)
  • V. Bouget, D. Béréziat, J. Brajard, A. Charantonis, A. Filoche : “Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting”, Remote Sensing, vol. 13 (2), pp. 246, (MDPI) (2021)
• 2020
  • A. Filoche, J. Brajard, A. Charantonis, D. Béréziat : “Completing physics-based models by learning hidden dynamics through data assimilation”, NeurIPS 2020, workshop AI4Earth, Vancouver (virtual), Canada (2020)