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Bastian Bohn
Bastian Bohn
Research Scientist, Institute for Numerical Simulation, University of Bonn
Bestätigte E-Mail-Adresse bei scai.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
Explainable machine learning for scientific insights and discoveries
R Roscher, B Bohn, MF Duarte, J Garcke
Ieee Access 8, 42200-42216, 2020
8432020
Analysis of car crash simulation data with nonlinear machine learning methods
B Bohn, J Garcke, R Iza-Teran, A Paprotny, B Peherstorfer, ...
Procedia Computer Science 18, 621-630, 2013
912013
A representer theorem for deep kernel learning
B Bohn, M Griebel, C Rieger
Journal of Machine Learning Research 20 (64), 1-32, 2019
612019
Feasible and Successful: Genome-Wide Interaction Analysis Involving All 1.9 × 1011 Pair-Wise Interaction Tests
M Steffens, T Becker, T Sander, R Fimmers, C Herold, DA Holler, C Leu, ...
Human Heredity 69 (4), 268-284, 2010
332010
Explain it to me–facing remote sensing challenges in the bio-and geosciences with explainable machine learning
R Roscher, B Bohn, MF Duarte, J Garcke
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
282020
A sparse grid based method for generative dimensionality reduction of high-dimensional data
B Bohn, J Garcke, M Griebel
Journal of Computational Physics 309, 1-17, 2016
172016
On the convergence rate of sparse grid least squares regression
B Bohn
Sparse Grids and Applications-Miami 2016, 19-41, 2018
162018
An adaptive sparse grid approach for time series prediction
B Bohn, M Griebel
Sparse grids and applications, 1-30, 2012
162012
Error analysis of regularized and unregularized least-squares regression on discretized function spaces
B Bohn
Universitäts-und Landesbibliothek Bonn, 2017
102017
Error estimates for multivariate regression on discretized function spaces
B Bohn, M Griebel
SIAM Journal on Numerical Analysis 55 (4), 1843-1866, 2017
62017
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids
B Bohn, M Griebel, J Oettershagen
Proceedings of the 2019 SIAM International Conference on Data Mining, 163-171, 2019
42019
Deep neural networks and PIDE discretizations
B Bohn, M Griebel, D Kannan
SIAM Journal on Mathematics of Data Science 4 (3), 1145-1170, 2022
22022
Einbettung von Zeitreihen nach Takens’ Theorem
B Bohn
Diplomarbeit, Rheinische Friedrich-Wilhelms-Universität Bonn, 2010
22010
Algorithmic Mathematics in Machine Learning
B Bohn, J Garcke, M Griebel
Society for Industrial and Applied Mathematics, 2024
2024
SIMDATA-NL-Nichtlineare Charakterisierung und Analyse von FEM-Simulationsergebnissen für Autobauteile und Crash-Tests
M Griebel, HJ Bungartz, C Czado, J Garcke, U Trottenberg, CA Thole, ...
Fraunhofer SCAI, 2014
2014
Lessons to be Learned From Genome-wide Interaction Analysis (GWIA)
M Mattheisen, M Steffens, T Becker, T Sander, R Fimmers, C Herold, ...
GENETIC EPIDEMIOLOGY 33 (8), 758-758, 2009
2009
Gerstner, T. 268 Greenberg, DA 152 Griebel, M. 268 Guo, X. 45
F Han, H He, S Herms, C Herold, M Hervella, TJ Hoffmann, DA Holler, ...
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