Jochen Garcke
TitleCited byYear
Data mining with sparse grids
J Garcke, M Griebel, M Thess
Computing 67 (3), 225-253, 2001
1582001
Sparse grids in a nutshell
J Garcke
Sparse grids and applications, 57-80, 2012
106*2012
The combination technique and some generalisations
M Hegland, J Garcke, V Challis
Linear Algebra and its Applications 420 (2-3), 249-275, 2007
982007
Multivariate regression and machine learning with sums of separable functions
G Beylkin, J Garcke, MJ Mohlenkamp
SIAM Journal on Scientific Computing 31 (3), 1840-1857, 2009
902009
On the computation of the eigenproblems of hydrogen and helium in strong magnetic and electric fields with the sparse grid combination technique
J Garcke, M Griebel
Journal of Computational Physics 165 (2), 694-716, 2000
792000
An adaptive sparse grid semi-Lagrangian scheme for first order Hamilton-Jacobi Bellman equations
O Bokanowski, J Garcke, M Griebel, I Klompmaker
Journal of Scientific Computing 55 (3), 575-605, 2013
672013
Maschinelles Lernen durch Funktionsrekonstruktion mit verallgemeinerten dünnen Gittern
J Garcke
University of Bonn, Germany, 2004
532004
Classification with sparse grids using simplicial basis functions
J Garcke, M Griebel
Intelligent data analysis 6 (6), 483-502, 2002
522002
Sparse grids and applications
J Garcke, M Griebel
Springer Science & Business Media, 2012
492012
Regression with the optimised combination technique
J Garcke
Proceedings of the 23rd international conference on Machine learning, 321-328, 2006
432006
A dimension adaptive sparse grid combination technique for machine learning
J Garcke
ANZIAM Journal 48, 725-740, 2006
382006
Fitting multidimensional data using gradient penalties and the sparse grid combination technique
J Garcke, M Hegland
Computing 84 (1-2), 1-25, 2009
362009
Analysis of car crash simulation data with nonlinear machine learning methods
B Bohn, J Garcke, R Iza-Teran, A Paprotny, B Peherstorfer, ...
Procedia Computer Science 18, 621-630, 2013
332013
Semi-supervised learning with sparse grids
J Garcke, M Griebel
SFB 611, 2005
312005
Data mining with sparse grids using simplicial basis functions
J Garcke, M Griebel
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
252001
Importance weighted inductive transfer learning for regression
J Garcke, T Vanck
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
232014
On the numerical solution of the chemical master equation with sums of rank one tensors
M Hegland, J Garcke
ANZIAM Journal 52, 628-643, 2010
232010
Approximating Gaussian Processes with H^2-Matrices
S Börm, J Garcke
European Conference on Machine Learning, 42-53, 2007
232007
Berechnung von Eigenwerten der stationären Schrödingergleichung mit der Kombinationstechnik
J Garcke
Inst. für Angew. Math. der Univ., 1998
231998
On the parallelization of the sparse grid approach for data mining
J Garcke, M Griebel
International Conference on Large-Scale Scientific Computing, 22-32, 2001
222001
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Articles 1–20