Aravinda Kanchana Ruwanpathirana

Structured linear dynamical systems can be learned from drastically undersampled observations ($p=o(1)$) with trajectory lengths far shorter than previously thought possible.

Adversarial outliers can be effectively handled in linear dynamical system identification by leveraging group-sparsity and robust estimation techniques, achieving provable guarantees.