Philipp Trunschke

Orcid: 0000-0002-2995-126X

According to our database1, Philipp Trunschke authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats.
SIAM J. Financial Math., June, 2023

Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs.
SIAM J. Sci. Comput., April, 2023

Weighted sparsity and sparse tensor networks for least squares approximation.
CoRR, 2023

2022
Convergence bounds for nonlinear least squares for tensor recovery.
CoRR, 2022

2021
A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression.
Frontiers Appl. Math. Stat., 2021

Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs.
CoRR, 2021

Convergence bounds for nonlinear least squares and applications to tensor recovery.
CoRR, 2021

Efficient approximation of high-dimensional exponentials by tensornetworks.
CoRR, 2021

2020
Convergence bounds for empirical nonlinear least-squares.
CoRR, 2020

2019
The Oracle of DLphi.
CoRR, 2019

Variational Monte Carlo - bridging concepts of machine learning and high-dimensional partial differential equations.
Adv. Comput. Math., 2019

2017
Generic Construction and Efficient Evaluation of Flow Network DAEs and Their Derivatives in the Context of Gas Networks.
Proceedings of the Operations Research Proceedings 2017, 2017


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