Holomorphic KAN-ODE uses KANs plus Cauchy-Riemann regularization inside Neural ODEs to model six families of holomorphic complex dynamics, recovering symbolic governing equations and fractal boundaries with 280 parameters and high noise robustness.
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Holomorphic Neural ODEs with Kolmogorov-Arnold Networks for Interpretable Discovery of Complex Dynamics
Holomorphic KAN-ODE uses KANs plus Cauchy-Riemann regularization inside Neural ODEs to model six families of holomorphic complex dynamics, recovering symbolic governing equations and fractal boundaries with 280 parameters and high noise robustness.