A modified CSDI diffusion model with convolutions, RMSNorm, and Fourier encoding jointly imputes and forecasts hydrological time series, outperforming standard baselines on two datasets for short horizons.
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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting
A modified CSDI diffusion model with convolutions, RMSNorm, and Fourier encoding jointly imputes and forecasts hydrological time series, outperforming standard baselines on two datasets for short horizons.