HydroDiffusion: Diffusion‐Based Probabilistic Streamflow Forecasting With a State Space Backbone
Recent advances have introduced diffusion models for probabilistic streamflow forecasting, demonstrating strong early flood‐warning skill. However, current implementations rely on Long Short‐Term Memory (LSTM) backbones and discrete‐time diffusion formulations. This leaves unresolved whether more advanced sequence‐mo...