2025
SpectraLDS: Provable Distillation for Linear Dynamical Systems
NeurIPS 2025poster
We present the first provable method for identifying symmetric linear dynamical systems (LDS) with accuracy guarantees that are independent of the system’s state dimension or effective memory. Our approach builds upon recent work that represents symmetric LDSs as convolutions learnable via fixed spe…