Philipp Trunschke

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Reproducing Kernel Hilbert Space

Levenberg Marquardt

Polynomial Regression

Top Venues

SIAM J. Financial Math.

Adv. Comput. Math.

Publications

Philipp Trunschke, Anthony Nouy
Almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces. CoRR (2024)
Philipp Trunschke, Anthony Nouy
Optimal sampling for least squares approximation with general dictionaries. CoRR (2024)
Christian Bayer, Martin Eigel, Leon Sallandt, Philipp Trunschke
Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats. SIAM J. Financial Math. 14 (2) (2023)
Philipp Trunschke, Anthony Nouy, Martin Eigel
Weighted sparsity and sparse tensor networks for least squares approximation. CoRR (2023)
Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke
Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs. SIAM J. Sci. Comput. 45 (2) (2023)
Philipp Trunschke
Convergence bounds for nonlinear least squares for tensor recovery. CoRR (2022)
Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke
Efficient approximation of high-dimensional exponentials by tensornetworks. CoRR (2021)
Michael Götte, Reinhold Schneider, Philipp Trunschke
A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression. Frontiers Appl. Math. Stat. 7 (2021)
Michael Götte, Reinhold Schneider, Philipp Trunschke
A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression. CoRR (2021)
Philipp Trunschke
Convergence bounds for nonlinear least squares and applications to tensor recovery. CoRR (2021)
Christian Bayer, Martin Eigel, Leon Sallandt, Philipp Trunschke
Pricing high-dimensional Bermudan options with hierarchical tensor formats. CoRR (2021)
Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke
Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs. CoRR (2021)
Martin Eigel, Reinhold Schneider, Philipp Trunschke
Convergence bounds for empirical nonlinear least-squares. CoRR (2020)
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
The Oracle of DLphi. CoRR (2019)
Martin Eigel, Reinhold Schneider, Philipp Trunschke, Sebastian Wolf
Variational Monte Carlo - bridging concepts of machine learning and high-dimensional partial differential equations. Adv. Comput. Math. 45 (5) (2019)
Tom Streubel, Christian Strohm, Philipp Trunschke, Caren Tischendorf
Generic Construction and Efficient Evaluation of Flow Network DAEs and Their Derivatives in the Context of Gas Networks. OR (2017)