Bastian Bohn

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 10

Top Topics

Dimensionality Reduction

Multivariate Regression

Supervised Machine Learning

Kernel Learning

Top Venues

J. Comput. Phys.

SIAM J. Numer. Anal.

Publications

Bastian Bohn, Michael Griebel, Dinesh Kannan
Deep Neural Networks and PIDE Discretizations. SIAM J. Math. Data Sci. 4 (3) (2022)
Bastian Bohn, Michael Griebel, Dinesh Kannan
Deep Neural Networks and PIDE discretizations. CoRR (2021)
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access 8 (2020)
Bastian Bohn, Michael Griebel, Jens Oettershagen
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. SDM (2019)
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
Explainable Machine Learning for Scientific Insights and Discoveries. CoRR (2019)
Bastian Bohn, Christian Rieger, Michael Griebel
A Representer Theorem for Deep Kernel Learning. J. Mach. Learn. Res. 20 (2019)
Bastian Bohn, Michael Griebel, Jens Oettershagen
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. CoRR (2018)
Bastian Bohn, Michael Griebel
Error Estimates for Multivariate Regression on Discretized Function Spaces. SIAM J. Numer. Anal. 55 (4) (2017)
Bastian Bohn, Michael Griebel, Christian Rieger
A representer theorem for deep kernel learning. CoRR (2017)
Bastian Bohn, Jochen Garcke, Michael Griebel
A sparse grid based method for generative dimensionality reduction of high-dimensional data. J. Comput. Phys. 309 (2016)
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)