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cs.LG2025
Variational Physics-Informed Ansatz for Reconstructing Hidden Interaction Networks from Steady States
Kaiming Luo
Inferring interaction structure from steady-state observations is a central inverse problem when transient trajectories are unavailable. Here we formulate this problem as simultane…
cs.LG2025
DAE-KAN: A Kolmogorov-Arnold Network Model for High-Index Differential-Algebraic Equations
Kai Luo, Juan Tang, Mingchao Cai +3
Kolmogorov-Arnold Networks (KANs) have emerged as a promising alternative to Multi-layer Perceptrons (MLPs) due to their superior function-fitting abilities in data-driven modeling…