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ORCIDPhilipp A. Guth
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2020 – today
- 2024
[j5]Philipp A. Guth, Claudia Schillings, Simon Weissmann:
One-Shot Learning of Surrogates in PDE-Constrained Optimization under Uncertainty. SIAM/ASA J. Uncertain. Quantification 12(2): 614-645 (2024)- [j4]Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
:
Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration. Numerische Mathematik 156(2): 565-608 (2024) - [j3]Philipp A. Guth, Vesa Kaarnioja:
Generalized Dimension Truncation Error Analysis for High-Dimensional Numerical Integration: Lognormal Setting and Beyond. SIAM J. Numer. Anal. 62(2): 872-892 (2024) - [i8]Philipp A. Guth, Peter Kritzer, Karl Kunisch:
Quasi-Monte Carlo integration for feedback control under uncertainty. CoRR abs/2409.15537 (2024) - 2023
- [j2]Philipp A. Guth, Andreas Van Barel:
Multilevel quasi-Monte Carlo for optimization under uncertainty. Numerische Mathematik 154(3-4): 443-484 (2023) - [i7]Philipp A. Guth, Vesa Kaarnioja:
Application of dimension truncation error analysis to high-dimensional function approximation. CoRR abs/2301.13693 (2023) - 2022
- [i6]Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan:
Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration. CoRR abs/2208.02767 (2022) - [i5]Philipp A. Guth, Vesa Kaarnioja:
Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond. CoRR abs/2209.06176 (2022) - 2021
- [j1]Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan:
A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty. SIAM/ASA J. Uncertain. Quantification 9(2): 354-383 (2021) - [i4]Philipp A. Guth, Andreas Van Barel:
Multilevel Quasi-Monte Carlo for Optimization under Uncertainty. CoRR abs/2109.14367 (2021) - [i3]Philipp A. Guth, Claudia Schillings, Simon Weissmann:
A General Framework for Machine Learning based Optimization Under Uncertainty. CoRR abs/2112.11126 (2021) - 2020
- [i2]Philipp A. Guth, Claudia Schillings, Simon Weissmann:
Ensemble Kalman filter for neural network based one-shot inversion. CoRR abs/2005.02039 (2020)
2010 – 2019
- 2019
- [i1]Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan:
A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty. CoRR abs/1910.10022 (2019)
Coauthor Index
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