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ORCIDFeliks Nüske
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2020 – today
- 2023
[j7]Feliks Nüske
, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, Karl Worthmann:
Finite-Data Error Bounds for Koopman-Based Prediction and Control. J. Nonlinear Sci. 33(1): 14 (2023)- [i3]Sebastian Peitz, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel Schaller, Karl Worthmann:
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems. CoRR abs/2307.15325 (2023) - 2022
- [j6]Marvin Lücke, Feliks Nüske:
tgEDMD: Approximation of the Kolmogorov Operator in Tensor Train Format. J. Nonlinear Sci. 32(4): 44 (2022) - 2021
- [j5]Feliks Nüske, Péter Koltai, Lorenzo Boninsegna, Cecilia Clementi:
Spectral Properties of Effective Dynamics from Conditional Expectations. Entropy 23(2): 134 (2021) - [j4]Stefan Klus, Patrick Gelß, Feliks Nüske, Frank Noé:
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry. Mach. Learn. Sci. Technol. 2(4): 45016 (2021) - 2020
- [j3]Stefan Klus, Feliks Nüske, Boumediene Hamzi:
Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator. Entropy 22(7): 722 (2020) - [i2]Stefan Klus, Feliks Nüske, Boumediene Hamzi:
Kernel-based approximation of the Koopman generator and Schrödinger operator. CoRR abs/2005.13231 (2020)
2010 – 2019
- 2019
- [i1]Feliks Nüske, Patrick Gelß, Stefan Klus, Cecilia Clementi:
Tensor-based EDMD for the Koopman analysis of high-dimensional systems. CoRR abs/1908.04741 (2019) - 2018
- [j2]Stefan Klus, Feliks Nüske, Péter Koltai, Hao Wu, Ioannis G. Kevrekidis, Christof Schütte, Frank Noé:
Data-Driven Model Reduction and Transfer Operator Approximation. J. Nonlinear Sci. 28(3): 985-1010 (2018) - 2013
- [j1]Frank Noé, Feliks Nüske:
A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems. Multiscale Model. Simul. 11(2): 635-655 (2013)
Coauthor Index
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