Bastian Bohn

According to our database, Bastian Bohn authored at least 7 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Deep Neural Networks and PIDE Discretizations.

Bastian Bohn, Michael Griebel, Dinesh Kannan

SIAM J. Math. Data Sci., September, 2022

2020

Explainable Machine Learning for Scientific Insights and Discoveries.

Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke

IEEE Access, 2020

2019

A Representer Theorem for Deep Kernel Learning.

Bastian Bohn, Christian Rieger, Michael Griebel

J. Mach. Learn. Res., 2019

Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids.

Bastian Bohn, Michael Griebel, Jens Oettershagen

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2017

Error Estimates for Multivariate Regression on Discretized Function Spaces.

Bastian Bohn, Michael Griebel

SIAM J. Numer. Anal., 2017

2016

A sparse grid based method for generative dimensionality reduction of high-dimensional data.

Bastian Bohn, Jochen Garcke, Michael Griebel

J. Comput. Phys., 2016

2013

Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods.

Bastian Bohn, Jochen Garcke, Rodrigo Iza-Teran, Alexander Paprotny, Benjamin Peherstorfer, Ulf Schepsmeier, Clemens-August Thole

Proceedings of the International Conference on Computational Science, 2013