Kernel-based approximation of the Koopman generator and Schrödinger
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Kernel-based approximation of the Koopman generator and Schrödinger operator

27 May 2020

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Papers citing "Kernel-based approximation of the Koopman generator and Schrödinger operator"

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Title
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control Stefan Klus Feliks Nuske Sebastian Peitz Jan-Hendrik Niemann C. Clementi Christof Schütte 75 228 0 23 Sep 2019
Kernel methods for detecting coherent structures in dynamical data Stefan Klus B. Husic Mattes Mollenhauer Frank Noé 30 29 0 16 Apr 2019
A kernel-based approach to molecular conformation analysis Stefan Klus A. Bittracher Ingmar Schuster Christof Schütte 48 26 0 28 Sep 2018
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 78 90 0 13 Aug 2018
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Stefan Klus Ingmar Schuster Krikamol Muandet 66 122 0 05 Dec 2017
Variational approach for learning Markov processes from time series data Hao Wu Frank Noé BDL AI4TS 27 264 0 14 Jul 2017
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 120 744 0 31 May 2016
Variational cross-validation of slow dynamical modes in molecular kinetics R. McGibbon Vijay S. Pande 76 175 0 30 Jul 2014