AI RESEARCH
N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting
arXiv CS.LG
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ArXi:2603.07361v1 Announce Type: new Long-horizon wildfire risk forecasting requires generating probabilistic spatial fields under sparse event supervision while maintaining computational efficiency across multiple prediction horizons. Extending diffusion models to multi-step forecasting typically repeats the denoising process independently for each horizon, leading to redundant computation. We