2 papers
stat.ML2026
Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting
Ferdinand Bhavsar, Lionel Benoit, Maxime Savatier +1
The modeling of hydrometeorological time series with limited observations is a key challenge in the monitoring of hydro-systems and water resources, as well as for flood or drought…
physics.geo-ph2023
A stable deep adversarial learning approach for geological facies generation
Ferdinand Bhavsar, Nicolas Desassis, Fabien Ors +1
The simulation of geological facies in an unobservable volume is essential in various geoscience applications. Given the complexity of the problem, deep generative learning is a pr…