AINeutralarXiv – CS AI · 8h ago6/10
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SPADE: Structure-Prior Adaptive Decision Estimation
SPADE introduces a machine learning framework that adaptively decides whether to enforce physical-structure priors (conservation laws, Hamiltonian forms) based on data evidence, using statistical tests and shrinkage estimation. The method automatically calibrates prior enforcement strength and selects among competing structures, achieving oracle-level performance while reducing computational overhead compared to cross-validation approaches.