AC-SINDy replaces explicit feature libraries in SINDy with arithmetic-circuit compositions and adds latent-state inference with multi-step supervision to recover governing equations more scalably on noisy nonlinear systems.
Arunabh Singh and Joyjit Mukherjee
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AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics
AC-SINDy replaces explicit feature libraries in SINDy with arithmetic-circuit compositions and adds latent-state inference with multi-step supervision to recover governing equations more scalably on noisy nonlinear systems.