Group by:

Date |

Item TypeNumber of items: **9**.

## Article

Guth, Philipp A. and Kaarnioja, Vesa
(2024)
*Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond.*
to appear in SIAM Journal on Numerical Analysis
.
(Submitted)

Guth, Philipp A. and Kaarnioja, Vesa
(2024)
*Uncertainty quantification for random domains using periodic random variables.*
Numerische Mathematik, 156
.
pp. 273-317.

Guth, Philipp A. and Kaarnioja, Vesa and Kuo, Frances Y. and Sloan, Ian H.
(2022)
*Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration.*
arXiv preprint arXiv:2208.02767
.
(Submitted)

Schillings, Claudia and Guth, Philipp A. and Weissmann, Simon
(2021)
*A General Framework for Machine Learning based Optimization Under Uncertainty.*
.
.
(Submitted)

Guth, Philipp A. and Kaarnioja, Vesa and Kuo, Frances Y. and Schillings, Claudia and Sloan, Ian H.
(2021)
*A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty.*
SIAM/ASA Journal on Uncertainty Quantification, 9
(2).
pp. 354-383.

Guth, Philipp A. and Schillings, Claudia and Weissmann, Simon
(2020)
*Ensemble Kalman filter for neural network based one-shot inversion.*
.
.
(Submitted)

Guth, Philipp A. and Schillings, Claudia and Weissmann, Simon
(2020)
*Ensemble Kalman filter for neural network-based one-shot inversion.*
ArXiv
.
(Submitted)

Guth, Philipp A. and Kaarnioja, Vesa and Kuo, Frances Y. and Schillings, Claudia and Sloan, Ian H.
(2019)
*A quasi-Monte Carlo method for an optimal control problem under uncertainty.*
ArXiv
.

## Book Section

Guth, Philipp A. and Kaarnioja, Vesa
(2024)
*Application of dimension truncation error analysis to high-dimensional function approximation
To appear in: 2022. Springer Verlag, 2024.*
In:
Monte Carlo and Quasi-Monte Carlo Methods.
Springer Verlag.
(Submitted)

This list was generated on **Mon Aug 5 12:33:56 2024 CEST**.