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 (OR, 2017)

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)

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; et al. (CoRR, 2019)

Convergence bounds for empirical nonlinear least-squares. - Martin Eigel; Reinhold Schneider; Philipp Trunschke (CoRR, 2020)

Efficient approximation of high-dimensional exponentials by tensornetworks. - 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)

Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs. - Martin Eigel; Nando Farchmin; Sebastian Heidenreich; Philipp Trunschke (CoRR, 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)

Convergence bounds for nonlinear least squares for tensor recovery. - Philipp Trunschke (CoRR, 2022)

Weighted sparsity and sparse tensor networks for least squares approximation. - Philipp Trunschke; Anthony Nouy; Martin Eigel (CoRR, 2023)

Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs. - Martin Eigel; Nando Farchmin; Sebastian Heidenreich; Philipp Trunschke (SIAM J. Sci. Comput., 2023)

Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats. - Christian Bayer 001; Martin Eigel; Leon Sallandt; Philipp Trunschke (SIAM J. Financial Math., 2023)

Almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces. - Philipp Trunschke; Anthony Nouy (CoRR, 2024)

Optimal sampling for least squares approximation with general dictionaries. - Philipp Trunschke; Anthony Nouy (CoRR, 2024)