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A kernel-based approach to molecular conformation analysis
v1v2 (latest)

A kernel-based approach to molecular conformation analysis

28 September 2018
Stefan Klus
A. Bittracher
Ingmar Schuster
Christof Schütte
ArXiv (abs)PDFHTML

Papers citing "A kernel-based approach to molecular conformation analysis"

12 / 12 papers shown
Title
Kernel Dynamic Mode Decomposition For Sparse Reconstruction of Closable Koopman Operators
Kernel Dynamic Mode Decomposition For Sparse Reconstruction of Closable Koopman Operators
Nishant Panda
Himanshu Singh
J. Nathan Kutz
97
0
0
11 May 2025
Dynamical systems and complex networks: A Koopman operator perspective
Dynamical systems and complex networks: A Koopman operator perspective
Stefan Klus
Natavsa Djurdjevac Conrad
51
3
0
14 May 2024
Learning Transfer Operators by Kernel Density Estimation
Learning Transfer Operators by Kernel Density Estimation
Sudam Surasinghe
Jeremie Fish
Erik Bollt
27
2
0
01 Aug 2022
Koopman-based spectral clustering of directed and time-evolving graphs
Koopman-based spectral clustering of directed and time-evolving graphs
Stefan Klus
Nataša Djurdjevac Conrad
47
11
0
06 Apr 2022
CKNet: A Convolutional Neural Network Based on Koopman Operator for
  Modeling Latent Dynamics from Pixels
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels
Yongqian Xiao
Xin Xu
Yifei Shi
60
9
0
19 Feb 2021
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis
K. Melnyk
Stefan Klus
G. Montavon
Tim Conrad
44
11
0
12 Aug 2020
Kernel-based approximation of the Koopman generator and Schrödinger
  operator
Kernel-based approximation of the Koopman generator and Schrödinger operator
Stefan Klus
Feliks Nuske
B. Hamzi
70
59
0
27 May 2020
Kernel Autocovariance Operators of Stationary Processes: Estimation and
  Convergence
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence
Mattes Mollenhauer
Stefan Klus
Christof Schütte
P. Koltai
75
9
0
02 Apr 2020
Dimensionality Reduction of Complex Metastable Systems via Kernel
  Embeddings of Transition Manifolds
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds
A. Bittracher
Stefan Klus
B. Hamzi
P. Koltai
Christof Schütte
78
22
0
18 Apr 2019
Kernel methods for detecting coherent structures in dynamical data
Kernel methods for detecting coherent structures in dynamical data
Stefan Klus
B. Husic
Mattes Mollenhauer
Frank Noé
57
29
0
16 Apr 2019
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
M. Lerasle
Z. Szabó
Gaspar Massiot
Guillaume Lecué
217
36
0
13 Feb 2018
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert
  Spaces
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces
Stefan Klus
Ingmar Schuster
Krikamol Muandet
93
122
0
05 Dec 2017
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