KO-PDE-IDENT combines model-X knockoff filters with SHAP-based statistics, recursive feature elimination, and multi-criteria decision making to recover exact PDE structures from noisy data with FDR control.
Multiple Attribute Decision Making: Methods and Applications -- A State-of-the-Art Survey , volume 186 of Lecture Notes in Economics and Mathematical Systems
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Data-driven sparse identification of governing PDEs via knockoff filters and multi-criteria trade-offs
KO-PDE-IDENT combines model-X knockoff filters with SHAP-based statistics, recursive feature elimination, and multi-criteria decision making to recover exact PDE structures from noisy data with FDR control.