Philipp A. Guth

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Function Approximation

Constrained Optimization

Optimal Control

Top Venues

SIAM/ASA J. Uncertain. Quantification

Numerische Mathematik

SIAM J. Numer. Anal.

Publications

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) (2024)
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) (2024)
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) (2024)
Philipp A. Guth, Vesa Kaarnioja
Application of dimension truncation error analysis to high-dimensional function approximation. CoRR (2023)
Philipp A. Guth, Andreas Van Barel
Multilevel quasi-Monte Carlo for optimization under uncertainty. Numerische Mathematik 154 (3-4) (2023)
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 (2022)
Philipp A. Guth, Vesa Kaarnioja
Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond. CoRR (2022)
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) (2021)
Philipp A. Guth, Claudia Schillings, Simon Weissmann
A General Framework for Machine Learning based Optimization Under Uncertainty. CoRR (2021)
Philipp A. Guth, Andreas Van Barel
Multilevel Quasi-Monte Carlo for Optimization under Uncertainty. CoRR (2021)
Philipp A. Guth, Claudia Schillings, Simon Weissmann
Ensemble Kalman filter for neural network based one-shot inversion. CoRR (2020)
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 (2019)