A convex spectral learner followed by spectral-to-LDS distillation extracts compact linear state-space predictors from nonlinear dynamics with a provable one-step error decomposition.
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Spectral Distillation: From Nonlinear Dynamics to Linear State-Space Models
A convex spectral learner followed by spectral-to-LDS distillation extracts compact linear state-space predictors from nonlinear dynamics with a provable one-step error decomposition.