Philipp A. Guth

According to our database, Philipp A. Guth authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration.

Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan

Numerische Mathematik, April, 2024

Generalized Dimension Truncation Error Analysis for High-Dimensional Numerical Integration: Lognormal Setting and Beyond.

Philipp A. Guth, Vesa Kaarnioja

SIAM J. Numer. Anal., 2024

One-Shot Learning of Surrogates in PDE-Constrained Optimization under Uncertainty.

Philipp A. Guth, Claudia Schillings, Simon Weissmann

SIAM/ASA J. Uncertain. Quantification, 2024

Quasi-Monte Carlo integration for feedback control under uncertainty.

Philipp A. Guth, Peter Kritzer, Karl Kunisch

CoRR, 2024

2023

Multilevel quasi-Monte Carlo for optimization under uncertainty.

Philipp A. Guth, Andreas Van Barel

Numerische Mathematik, August, 2023

Application of dimension truncation error analysis to high-dimensional function approximation.

Philipp A. Guth, Vesa Kaarnioja

CoRR, 2023

2021

A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty.

Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan

SIAM/ASA J. Uncertain. Quantification, 2021

A General Framework for Machine Learning based Optimization Under Uncertainty.

Philipp A. Guth, Claudia Schillings, Simon Weissmann

CoRR, 2021

2020

Ensemble Kalman filter for neural network based one-shot inversion.

Philipp A. Guth, Claudia Schillings, Simon Weissmann

CoRR, 2020

2019

A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty.

Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan

CoRR, 2019