Philipp Trunschke

Philipp Trunschke started his fellowship on 1 August 2018 in Prof. Dr. Reinhold Schneider's research group Modeling, Simulation and Optimization in Science and Engineering at Faculty II. 

Research Project: "Improving solution strategies for high-dimensional stochastic PDFs with ML methods and rigorous numerical error bounds”


Mailing Address

Technische Universität Berlin
Sekretariat MA 5-3
Straße des 17. Juni 136
10623 Berlin

Institut für Mathematik
Straße des 17. Juni 136
10623 Berlin

Homepage at Research Group

Reprint: M. Eigel, R. Schneider, and P. Trunschke, Convergence bounds for empirical nonlinear least-squares, 2020. arXiv: 2001.00639 [math.NA].
M. Eigel, R. Schneider, P. Trunschke, and S. Wolf, “Variational monte carlo—bridging concepts of machine learning and high-dimensional partial differential equations”, Advances in Computational Mathematics, vol. 45, no. 5-6, pp. 2503–2532, Oct. 2019.
T. Streubel, C. Strohm, P. Trunschke, and C. Tischendorf, “Generic construction and efficient evaluation of flow network DAEs and their derivatives in the context of gas networks”, in Operations Research Proceedings, Springer International Publishing, 2018, pp. 627–632.
GAMM 2019, 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics,
Oberwolfach Seminar on Mathematics of Deep Learning, October 2019,