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2020 – today
- 2022
[j5]Bastian Bohn
, Michael Griebel, Dinesh Kannan:
Deep Neural Networks and PIDE Discretizations. SIAM J. Math. Data Sci. 4(3): 1145-1170 (2022)- 2021
- [i4]Bastian Bohn, Michael Griebel, Dinesh Kannan:
Deep Neural Networks and PIDE discretizations. CoRR abs/2108.02430 (2021) - 2020
- [j4]Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke:
Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access 8: 42200-42216 (2020)
2010 – 2019
- 2019
- [j3]Bastian Bohn, Christian Rieger, Michael Griebel:
A Representer Theorem for Deep Kernel Learning. J. Mach. Learn. Res. 20: 64:1-64:32 (2019) - [c2]Bastian Bohn, Michael Griebel, Jens Oettershagen:
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. SDM 2019: 163-171 - [i3]Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke:
Explainable Machine Learning for Scientific Insights and Discoveries. CoRR abs/1905.08883 (2019) - 2018
- [i2]Bastian Bohn, Michael Griebel, Jens Oettershagen:
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. CoRR abs/1810.06749 (2018) - 2017
- [j2]Bastian Bohn, Michael Griebel:
Error Estimates for Multivariate Regression on Discretized Function Spaces. SIAM J. Numer. Anal. 55(4): 1843-1866 (2017) - [i1]Bastian Bohn, Michael Griebel, Christian Rieger:
A representer theorem for deep kernel learning. CoRR abs/1709.10441 (2017) - 2016
- [j1]Bastian Bohn, Jochen Garcke, Michael Griebel:
A sparse grid based method for generative dimensionality reduction of high-dimensional data. J. Comput. Phys. 309: 1-17 (2016) - 2013
- [c1]Bastian Bohn, Jochen Garcke, Rodrigo Iza-Teran, Alexander Paprotny, Benjamin Peherstorfer, Ulf Schepsmeier, Clemens-August Thole:
Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods. ICCS 2013: 621-630
Coauthor Index
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