arXiv stat.ML
· Papers
Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting
arXiv:2607.21200v1 Announce Type: new Abstract: 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 risk assessment. Due to the high variability of the underlying processes and the sparsity o