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Stefan Klus

Showing results (1-10 of 10) with videos related to

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The Journal of Chemical Physics|August 18, 2023
Efficient approximation of molecular kinetics using random Fourier featuresFeliks Nüske, Stefan Klus
Entropy (Basel, Switzerland)|December 8, 2020
Kernel-Based Approximation of the Koopman Generator and Schrödinger OperatorStefan Klus, Feliks Nüske, Boumediene Hamzi
Chaos (Woodbury, N.Y.)|January 10, 2025
Clustering time-evolving networks using the spatiotemporal graph LaplacianMaia Trower, Natasa Djurdjevac Conrad, Stefan Klus
Plos One|May 13, 2021
Data-driven model reduction of agent-based systems using the Koopman generatorJan-Hendrik Niemann, Stefan Klus, Christof Schütte
The Journal of Chemical Physics|January 3, 2019
A kernel-based approach to molecular conformation analysisStefan Klus, Andreas Bittracher, Ingmar Schuster, et al.
Chaos (Woodbury, N.Y.)|January 3, 2020
Kernel methods for detecting coherent structures in dynamical dataStefan Klus, Brooke E Husic, Mattes Mollenhauer, et al.
Scientific Reports|July 8, 2025
Random walk based snapshot clustering for detecting community dynamics in temporal networksFilip Blašković, Tim O F Conrad, Stefan Klus, et al.
The Journal of Chemical Physics|April 24, 2017
Variational Koopman models: Slow collective variables and molecular kinetics from short off-equilibrium simulationsHao Wu, Feliks Nüske, Fabian Paul, et al.
Journal of Nonlinear Science|March 13, 2018
Transition Manifolds of Complex Metastable Systems: Theory and Data-Driven Computation of Effective DynamicsAndreas Bittracher, Péter Koltai, Stefan Klus, et al.
Plos Computational Biology|August 28, 2025
Data-driven analysis of fine-scale badger movement in the UKJessica R Furber, Richard J Delahay, Ruth Cox, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|August 18, 2023
Efficient approximation of molecular kinetics using random Fourier featuresFeliks Nüske, Stefan Klus
Entropy (Basel, Switzerland)|December 8, 2020
Kernel-Based Approximation of the Koopman Generator and Schrödinger OperatorStefan Klus, Feliks Nüske, Boumediene Hamzi
Chaos (Woodbury, N.Y.)|January 10, 2025
Clustering time-evolving networks using the spatiotemporal graph LaplacianMaia Trower, Natasa Djurdjevac Conrad, Stefan Klus
Plos One|May 13, 2021
Data-driven model reduction of agent-based systems using the Koopman generatorJan-Hendrik Niemann, Stefan Klus, Christof Schütte
The Journal of Chemical Physics|January 3, 2019
A kernel-based approach to molecular conformation analysisStefan Klus, Andreas Bittracher, Ingmar Schuster, et al.
Chaos (Woodbury, N.Y.)|January 3, 2020
Kernel methods for detecting coherent structures in dynamical dataStefan Klus, Brooke E Husic, Mattes Mollenhauer, et al.
Scientific Reports|July 8, 2025
Random walk based snapshot clustering for detecting community dynamics in temporal networksFilip Blašković, Tim O F Conrad, Stefan Klus, et al.
The Journal of Chemical Physics|April 24, 2017
Variational Koopman models: Slow collective variables and molecular kinetics from short off-equilibrium simulationsHao Wu, Feliks Nüske, Fabian Paul, et al.
Journal of Nonlinear Science|March 13, 2018
Transition Manifolds of Complex Metastable Systems: Theory and Data-Driven Computation of Effective DynamicsAndreas Bittracher, Péter Koltai, Stefan Klus, et al.
Plos Computational Biology|August 28, 2025
Data-driven analysis of fine-scale badger movement in the UKJessica R Furber, Richard J Delahay, Ruth Cox, et al.
Pageof 1