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Philipp Trunschke
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引用次数
引用次数
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Towards experimental handbooks in catalysis
A Trunschke, G Bellini, M Boniface, SJ Carey, J Dong, E Erdem, L Foppa, ...
Topics in Catalysis 63, 1683-1699, 2020
532020
Variational Monte Carlo—bridging concepts of machine learning and high-dimensional partial differential equations
M Eigel, R Schneider, P Trunschke, S Wolf
Advances in Computational Mathematics 45, 2503-2532, 2019
502019
Pricing high-dimensional Bermudan options with hierarchical tensor formats
C Bayer, M Eigel, L Sallandt, P Trunschke
SIAM Journal on Financial Mathematics 14 (2), 383-406, 2023
242023
Convergence bounds for empirical nonlinear least-squares
M Eigel, R Schneider, P Trunschke
ESAIM: Mathematical Modelling and Numerical Analysis 56 (1), 79-104, 2022
232022
A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression
M Götte, R Schneider, P Trunschke
Frontiers in Applied Mathematics and Statistics 7, 702486, 2021
122021
Convergence bounds for nonlinear least squares and applications to tensor recovery
P Trunschke
arXiv preprint arXiv:2108.05237, 2021
92021
Efficient approximation of high-dimensional exponentials by tensor networks
M Eigel, N Farchmin, S Heidenreich, P Trunschke
International Journal for Uncertainty Quantification 13 (1), 2023
52023
Generic construction and efficient evaluation of flow network DAEs and their derivatives in the context of gas networks
T Streubel, C Strohm, P Trunschke, C Tischendorf
Operations Research Proceedings 2017: Selected Papers of the Annual …, 2018
52018
Adaptive nonintrusive reconstruction of solutions to high-dimensional parametric PDEs
M Eigel, N Farchmin, S Heidenreich, P Trunschke
SIAM Journal on Scientific Computing 45 (2), A457-A479, 2023
42023
Optimal sampling for stochastic and natural gradient descent
R Gruhlke, A Nouy, P Trunschke
arXiv preprint arXiv:2402.03113, 2024
22024
Convergence bounds for local least squares approximation
P Trunschke
arXiv preprint arXiv:2208.10954, 2022
22022
Optimal sampling for least squares approximation with general dictionaries
P Trunschke, A Nouy
arXiv preprint arXiv:2407.07814, 2024
12024
Almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces
P Trunschke, A Nouy
arXiv preprint arXiv:2407.06674, 2024
12024
Sample Complexity Bounds for the Local Convergence of Least Squares Approximation
P Trunschke
Analysis and Applications, 2024
12024
Weighted sparsity and sparse tensor networks for least squares approximation
P Trunschke, A Nouy, M Eigel
arXiv preprint arXiv:2310.08942, 2023
12023
Mini-Workshop: Nonlinear Approximation of High-dimensional Functions in Scientific Computing
M Oster, J Schütte, P Trunschke
Oberwolfach Reports 20 (4), 2771-2808, 2024
2024
Optimal sampling for stochastic and natural gradient descent Robert Gruhlke
R Gruhlke, A Nouy, P Trunschke
arXiv, 2024
2024
On the theory and practice of tensor recovery for high-dimensional partial differential equations
P Trunschke
Technische Universität Berlin, 2022
2022
Laboratoire de Mathématiques Jean Leray Nantes Université Nantes, France
P Trunschke
arXiv preprint arXiv:2208.10954, 2022
2022
Convergence bounds for nonlinear least squares for tensor recovery.
P Trunschke
CoRR, 2022
2022
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