10 citations · 29 across the 13 of their papers we have counts for
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math.DS2021★ 6 cited
On Few Shot Learning of Dynamical Systems: A Koopman Operator Theoretic Approach
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
In this paper, we propose a novel algorithm for learning the Koopman operator of a dynamical system from a \textit{small} amount of training data. In many applications of data-driv…
math.DS2019
On Computation of Koopman Operator from Sparse Data
Subhrajit Sinha, Enoch Yeung
In this paper we propose a novel approach to compute the Koopman operator from sparse time series data. In recent years there has been considerable interests in operator theoretic…
math.DS2017★ 10 cited
Data-Driven Approximation of Transfer Operators: Naturally Structured Dynamic Mode Decomposition
Bowen Huang, Umesh Vaidya
In this paper, we provide a new algorithm for the finite dimensional approximation of the linear transfer Koopman and Perron-Frobenius operator from time series data. We argue that…