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SAD-KD
SAD-KD PublicSAD-KD(Structure-Anchored Frequency-Decoupled Knowledge Distillation) 是一个面向偏微分方程(PDE)反问题的结构锚定频域解耦蒸馏框架,旨在解决物理参数反演中普遍存在的参数不可辨识性问题——即不同的物理参数组合可能产生完全相同的观测数据,导致模型无法唯一确定真实参数。
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