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SDECast:用神经SDE做连续时间概率天气预报

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2026年10月5日,研究者在arXiv(Statistics Machine Learning)发布SDECast,一个用于连续时间概率天气预报的神经随机微分方程(SDE)框架。该方法将SDE Matching扩展到物理空间,直接学习随机动力学,训练时无需反复模拟SDE。这是目前该事件的唯一报道,尚未见后续验证或同行评议信息。

Generated from reports · updated 16 hr ago

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Oct 5, 2026
  1. arXiv · Statistics Machine Learning
    SDECast:用神经 SDE 做连续时间概率天气预报

    研究者提出 SDECast,一个用于连续时间概率天气预报的神经随机微分方程(SDE)框架,将 SDE Matching 扩展到物理空间直接学习随机动力学,训练时无需反复模拟 SDE。

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