3 papers
cs.LG2026
Super-Resolving Coarse-Resolution Weather Forecasts With Flow Matching
Aymeric Delefosse, Anastase Charantonis, Dominique Béréziat
Machine learning-based weather forecasting models now surpass state-of-the-art numerical weather prediction systems, but training and operating these models at high spatial resolut…
cs.LG2022
Learning 4DVAR inversion directly from observations
Arthur Filoche, Julien Brajard, Anastase Charantonis +1
Variational data assimilation and deep learning share many algorithmic aspects in common. While the former focuses on system state estimation, the latter provides great inductive b…
eess.SP2021
Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting
Vincent Bouget, Dominique Béréziat, Julien Brajard +2
Short- or mid-term rainfall forecasting is a major task with several environmental applications such as agricultural management or flood risk monitoring. Existing data-driven appro…