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2019

C. Rieger and H. Wendland
Sampling Inequalities for Anisotropic Tensor Product Grids
IMA Journal of Numerical Analysis 2019
https://doi.org/10.1093/imanum/dry080

2018

D. Dũng, M. Griebel, V. N. Huy and C. Rieger
$\varepsilon$-dimension in infinite dimensional hyperbolic cross approximation and application to parametric elliptic PDEs
Journal of Complexity, 46: 66--89 2018
10.1016/j.jco.2017.12.001
M. Griebel, C. Rieger and B. Zwicknagl
Regularized Kernel-Based Reconstruction in Generalized Besov Spaces
Foundations of Computational Mathematics, 18(2): 459--508 2018
10.1007/s10208-017-9346-z
Michael Griebel, Christian Rieger and Peter Zaspel
Kernel-based stochastic collocation for the random two-phase Navier-Stokes equations
2018
https://ins.uni-bonn.de/media/public/publication-media/INSPreprint1813.pdf

2017

B. Bohn, M. Griebel and C. Rieger
A representer theorem for deep kernel learning
2017
http://wissrech.ins.uni-bonn.de/research/pub/bohn/INSPreprint_concatRegr.pdf
M. Griebel and C. Rieger
Reproducing kernel Hilbert spaces for parametric partial differential equations
SIAM/ASA J. Uncertainty Quantification, 5: 111-137 2017
10.1137/15M1026870
C. Rieger and H. Wendland
Sampling Inequalities for Sparse Grids
Numerische Mathematik 2017
10.1007/s00211-016-0845-7

2015

Michael Griebel, Christian Rieger and Barbara Zwicknagl
Multiscale approximation and reproducing kernel Hilbert space methods
SIAM Journal on Numerical Analysis, 53(2): 852-873 2015
http://dx.doi.org/10.1137/130932144

2014

Thomas Hangelbroek, Francis J. Narcowich, Christian Rieger and Joseph D. Ward
An inverse theorem on bounded domains for meshless methods using localized bases
2014
http://arxiv.org/pdf/1406.1435v1