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Nüske, Feliks
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1

Error bounds for kernel-based approximations of the Koopman..:

Philipp, Friedrich M. ; Schaller, Manuel ; Worthmann, Karl..
Applied and Computational Harmonic Analysis.  71 (2024)  - p. 101657 , 2024
Link: https://doi.org/10.1016/..
 
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2

Slicing and Dicing: Optimal Coarse-Grained Representation t..:

Yang, Wangfei ; Templeton, Clark ; Rosenberger, David...
ACS Central Science.  9 (2023)  2 - p. 186-196 , 2023
Link: https://doi.org/10.1021/..
 
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3

Efficient approximation of molecular kinetics using random ..:

Nüske, Feliks ; Klus, Stefan
The Journal of Chemical Physics.  159 (2023)  7 - p. , 2023
Link: https://doi.org/10.1063/..
 
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4

tgEDMD: Approximation of the Kolmogorov Operator in Tensor ..:

Lücke, Marvin ; Nüske, Feliks
Journal of Nonlinear Science.  32 (2022)  4 - p. , 2022
Link: https://doi.org/10.1007/..
 
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5

Finite-Data Error Bounds for Koopman-Based Prediction and C..:

Nüske, Feliks ; Peitz, Sebastian ; Philipp, Friedrich..
Journal of Nonlinear Science.  33 (2022)  1 - p. , 2022
Link: https://doi.org/10.1007/..
 
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6

Koopman analysis of quantum systems*:

Klus, Stefan ; Nüske, Feliks ; Peitz, Sebastian
Journal of Physics A: Mathematical and Theoretical.  55 (2022)  31 - p. 314002 , 2022
Link: https://doi.org/10.1088/..
 
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7

Spectral Properties of Effective Dynamics from Conditional ..:

Nüske, Feliks ; Koltai, Péter ; Boninsegna, Lorenzo.
Entropy.  23 (2021)  2 - p. 134 , 2021
Link: https://doi.org/10.3390/..
 
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8

Tensor-based computation of metastable and coherent sets:

Nüske, Feliks ; Gelß, Patrick ; Klus, Stefan.
Physica D: Nonlinear Phenomena.  427 (2021)  - p. 133018 , 2021
Link: https://doi.org/10.1016/..
 
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9

Symmetric and antisymmetric kernels for machine learning pr..:

Klus, Stefan ; Gelß, Patrick ; Nüske, Feliks.
Machine Learning: Science and Technology.  2 (2021)  4 - p. 045016 , 2021
Link: https://doi.org/10.1088/..
 
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10

Kernel-Based Approximation of the Koopman Generator and Sch..:

Klus, Stefan ; Nüske, Feliks ; Hamzi, Boumediene
Entropy.  22 (2020)  7 - p. 722 , 2020
Link: https://doi.org/10.3390/..
 
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11

Data-driven approximation of the Koopman generator: Model r..:

Klus, Stefan ; Nüske, Feliks ; Peitz, Sebastian...
Physica D: Nonlinear Phenomena.  406 (2020)  - p. 132416 , 2020
Link: https://doi.org/10.1016/..
 
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12

Coarse-graining molecular systems by spectral matching:

Nüske, Feliks ; Boninsegna, Lorenzo ; Clementi, Cecilia
The Journal of Chemical Physics.  151 (2019)  4 - p. , 2019
Link: https://doi.org/10.1063/..
 
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13

Quantitative comparison of adaptive sampling methods for pr..:

Hruska, Eugen ; Abella, Jayvee R. ; Nüske, Feliks..
The Journal of Chemical Physics.  149 (2018)  24 - p. , 2018
Link: https://doi.org/10.1063/..
 
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14

Data-Driven Model Reduction and Transfer Operator Approxima..:

Klus, Stefan ; Nüske, Feliks ; Koltai, Péter...
Journal of Nonlinear Science.  28 (2018)  3 - p. 985-1010 , 2018
Link: https://doi.org/10.1007/..
 
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15

Sparse learning of stochastic dynamical equations:

Boninsegna, Lorenzo ; Nüske, Feliks ; Clementi, Cecilia
The Journal of Chemical Physics.  148 (2018)  24 - p. , 2018
Link: https://doi.org/10.1063/..
 
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