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Roland Tóth

2 accepted papers

2023

Continuous-time identification of dynamic state-space models by deep subspace encoding

ICLR 2023poster

Continuous-time (CT) modeling has proven to provide improved sample efficiency and interpretability in learning the dynamical behavior of physical systems compared to discrete-time (DT) models. However, even with numerous recent developments, the CT nonlinear state-space (NL-SS) model identification…