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Johannes Schusterbauer

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#machine learning Preprint Oct 2026

Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion

Generative diffusion models are well-suited for probabilistic precipitation nowcasting, but existing approaches often rely on separately trained compression or deterministic forecasting components and remain costly at inference due to iterative denoising. We introduce Just Weather Scoring (JWS), a single-stage, end-to-...

Jannik Wiese, Johannes Schusterbauer, Tommaso Martorella et al. · 0 citations

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