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Author

Takumi Bannai

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#machine learning Preprint Oct 2026

Scale-Recursive Rectified Flows for Few-Step Precipitation Ensembles

Fine-resolution precipitation estimates support flood risk assessment and water management, but coarse satellite products cannot resolve rainfall within each grid cell. Generative models address this ambiguity by producing ensembles of plausible high-resolution rainfall fields. Among these models, rectified flows gener...

Shunya Nagashima, Takumi Bannai · 0 citations
#machine learning Preprint Sep 2026

Physics-Guided Flow-Map Matching for Precipitation Nowcasting

Precipitation nowcasting, generating future radar fields from past observations, is critical for flood warning and disaster response. It is also a demanding benchmark for spatiotemporal generative modeling, with chaotic dynamics, heavy-tailed intensities, and rare high-intensity structures that matter most. Determinist...

Shunya Nagashima, Takumi Bannai, Makoto Misaizu et al. · 0 citations

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