Philipp Trunschke

18 papers Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multilevel Sparse Tensor Approximation for High-Dimensional Parametric PDEs. CoRR Martin Eigel, Philipp Trunschke, Dana Wrischnig
2025	J	`jnl`	Estimating systematic errors in Bayesian inversion using transport maps. CoRR Maren Casfor, Philipp Trunschke, Sebastian Heidenreich, Nando Hegemann
2024	J	`jnl`	Almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces. CoRR Philipp Trunschke, Anthony Nouy
2024	J	`jnl`	Optimal sampling for least squares approximation with general dictionaries. CoRR Philipp Trunschke, Anthony Nouy
2023	J	`jnl`	Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs. SIAM J. Sci. Comput. Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke
2023	J	`jnl`	Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats. SIAM J. Financial Math. Christian Bayer, Martin Eigel, Leon Sallandt, Philipp Trunschke
2023	J	`jnl`	Weighted sparsity and sparse tensor networks for least squares approximation. CoRR Philipp Trunschke, Anthony Nouy, Martin Eigel
2022	J	`jnl`	Convergence bounds for nonlinear least squares for tensor recovery. CoRR Philipp Trunschke
2021	J	`jnl`	A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression. Frontiers Appl. Math. Stat. Michael Götte, Reinhold Schneider, Philipp Trunschke
2021	J	`jnl`	A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression. CoRR Michael Götte, Reinhold Schneider, Philipp Trunschke
2021	J	`jnl`	Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs. CoRR Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke
2021	J	`jnl`	Convergence bounds for nonlinear least squares and applications to tensor recovery. CoRR Philipp Trunschke
2021	J	`jnl`	Efficient approximation of high-dimensional exponentials by tensornetworks. CoRR Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke
2021	J	`jnl`	Pricing high-dimensional Bermudan options with hierarchical tensor formats. CoRR Christian Bayer, Martin Eigel, Leon Sallandt, Philipp Trunschke
2020	J	`jnl`	Convergence bounds for empirical nonlinear least-squares. CoRR Martin Eigel, Reinhold Schneider, Philipp Trunschke
2019	J	`jnl`	The Oracle of DLphi. CoRR 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
2019	J	`jnl`	Variational Monte Carlo - bridging concepts of machine learning and high-dimensional partial differential equations. Adv. Comput. Math. Martin Eigel, Reinhold Schneider, Philipp Trunschke, Sebastian Wolf
2017	—	`conf`	Generic Construction and Efficient Evaluation of Flow Network DAEs and Their Derivatives in the Context of Gas Networks. OR Tom Streubel, Christian Strohm, Philipp Trunschke, Caren Tischendorf