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 (ICCS, 2013)

A sparse grid based method for generative dimensionality reduction of high-dimensional data. - Bastian Bohn; Jochen Garcke; Michael Griebel (J. Comput. Phys., 2016)

Error Estimates for Multivariate Regression on Discretized Function Spaces. - Bastian Bohn; Michael Griebel (SIAM J. Numer. Anal., 2017)

Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. - Bastian Bohn; Michael Griebel; Jens Oettershagen (SDM, 2019)

A Representer Theorem for Deep Kernel Learning. - Bastian Bohn; Christian Rieger; Michael Griebel (J. Mach. Learn. Res., 2019)

Explainable Machine Learning for Scientific Insights and Discoveries. - Ribana Roscher; Bastian Bohn; Marco F. Duarte; Jochen Garcke (IEEE Access, 2020)

Deep Neural Networks and PIDE Discretizations. - Bastian Bohn; Michael Griebel; Dinesh Kannan (SIAM J. Math. Data Sci., 2022)