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Parallelisation of Sparse Grids for Large Scale Data Analysis.

J. Garcke, M. Hegland, and O. Nielsen. International Conference on Computational Science, volume 2659 of Lecture Notes in Computer Science, page 683-692. Springer, (2003)

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Dr. Jochen Seidel University of Stuttgart

Jochen Wiedemann University of Stuttgart

Hon. -Prof. Dr. Jochen Mannhart University of Stuttgart

Jochen Fähndrich University of Stuttgart

Hon. -Prof. Dr. -Ing. Carl-Jochen Winter University of Stuttgart

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Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods.B. Bohn, J. Garcke, R. Iza-Teran, A. Paprotny, B. Peherstorfer, U. Schepsmeier, and C. Thole. ICCS, volume 18 of Procedia Computer Science, page 621-630. Elsevier, (2013)An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data.J. Liu, D. Feld, Y. Xue, J. Garcke, T. Soddemann, and P. Pan. Int. J. Digital Earth, 9 (8): 748-765 (2016)Advancing a Gateway Infrastructure for Wind Turbine Data Analysis.A. Aguilera, R. Grunzke, D. Habich, J. Luong, D. Schollbach, U. Markwardt, and J. Garcke. J. Grid Comput., 14 (4): 499-514 (2016)Explainable Machine Learning for Scientific Insights and Discoveries.R. Roscher, B. Bohn, M. Duarte, and J. Garcke. CoRR, (2019)Parallelisation of Sparse Grids for Large Scale Data Analysis.J. Garcke, M. Hegland, and O. Nielsen. International Conference on Computational Science, volume 2659 of Lecture Notes in Computer Science, page 683-692. Springer, (2003)Regression with the optimised combination technique.J. Garcke. ICML, volume 148 of ACM International Conference Proceeding Series, page 321-328. ACM, (2006)An Adaptive Sparse Grid Semi-Lagrangian Scheme for First Order Hamilton-Jacobi Bellman Equations.O. Bokanowski, J. Garcke, M. Griebel, and I. Klompmaker. J. Sci. Comput., 55 (3): 575-605 (2013)Suboptimal Feedback Control of PDEs by Solving HJB Equations on Adaptive Sparse Grids.J. Garcke, and A. Kröner. J. Sci. Comput., 70 (1): 1-28 (2017)A Geometrical Method for Low-Dimensional Representations of Simulations.R. Iza-Teran, and J. Garcke. CoRR, (2019)On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap.A. Paprotny, and J. Garcke. AISTATS, volume 22 of JMLR Proceedings, page 859-867. JMLR.org, (2012)