Philipp Trunschke

According to our database, Philipp Trunschke authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Optimal sampling for least squares approximation with general dictionaries.

Philipp Trunschke, Anthony Nouy

CoRR, 2024

Almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces.

Philipp Trunschke, Anthony Nouy

CoRR, 2024

2023

Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats.

Christian Bayer, Martin Eigel, Leon Sallandt, Philipp Trunschke

SIAM J. Financial Math., June, 2023

Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

SIAM J. Sci. Comput., April, 2023

Weighted sparsity and sparse tensor networks for least squares approximation.

Philipp Trunschke, Anthony Nouy, Martin Eigel

CoRR, 2023

2022

Convergence bounds for nonlinear least squares for tensor recovery.

Philipp Trunschke

CoRR, 2022

2021

A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression.

Michael Götte, Reinhold Schneider, Philipp Trunschke

Frontiers Appl. Math. Stat., 2021

Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

CoRR, 2021

Convergence bounds for nonlinear least squares and applications to tensor recovery.

Philipp Trunschke

CoRR, 2021

Efficient approximation of high-dimensional exponentials by tensornetworks.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

CoRR, 2021

2020

Convergence bounds for empirical nonlinear least-squares.

Martin Eigel, Reinhold Schneider, Philipp Trunschke

CoRR, 2020

2019

The Oracle of DLphi.

Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber

CoRR, 2019

Variational Monte Carlo - bridging concepts of machine learning and high-dimensional partial differential equations.

Martin Eigel, Reinhold Schneider, Philipp Trunschke, Sebastian Wolf

Adv. Comput. Math., 2019

2017

Generic Construction and Efficient Evaluation of Flow Network DAEs and Their Derivatives in the Context of Gas Networks.

Tom Streubel, Christian Strohm, Philipp Trunschke, Caren Tischendorf

Proceedings of the Operations Research Proceedings 2017, 2017