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A kernel-based approach to molecular conformation analysis

A kernel-based approach to molecular conformation analysis

28 September 2018
Stefan Klus
A. Bittracher
Ingmar Schuster
Christof Schütte
ArXivPDFHTML

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

7 / 7 papers shown
Title
Singular Value Decomposition of Operators on Reproducing Kernel Hilbert
  Spaces
Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces
Mattes Mollenhauer
Ingmar Schuster
Stefan Klus
Christof Schütte
26
18
0
24 Jul 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
53
121
0
05 Dec 2017
VAMPnets: Deep learning of molecular kinetics
VAMPnets: Deep learning of molecular kinetics
Andreas Mardt
Luca Pasquali
Hao Wu
Frank Noé
57
542
0
16 Oct 2017
Uncertain programming model for multi-item solid transportation problem
Uncertain programming model for multi-item solid transportation problem
Hasan Dalman
75
732
0
31 May 2016
Deep Kernel Learning
Deep Kernel Learning
A. Wilson
Zhiting Hu
Ruslan Salakhutdinov
Eric Xing
BDL
195
882
0
06 Nov 2015
A variational approach to modeling slow processes in stochastic
  dynamical systems
A variational approach to modeling slow processes in stochastic dynamical systems
Frank Noé
Feliks Nuske
64
292
0
29 Nov 2012
Graph Kernels
Graph Kernels
S.V.N. Vishwanathan
Karsten Borgwardt
I. Kondor
N. Schraudolph
128
1,202
0
01 Jul 2008
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