%0 Journal Article
%1 kroker2025bayesian3
%A Kröker, I.
%A Brünnette, T.
%A Wildt, N.
%A Morales Oreamuno, M. F.
%A Kohlhaas, R.
%A Oladyshkin, S.
%A Nowak, W.
%D 2025
%J International Journal for Uncertainty Quantification
%K pa-b pa-d rp-b4 rp-d3 sfb1313
%N 3
%P 21-54
%R 10.1615/Int.J.UncertaintyQuantification.2024052675
%T Bayesian3 active learning for regularized multi-resolution arbitrary polynomial chaos using information theory
%V 15
@article{kroker2025bayesian3,
added-at = {2025-03-28T14:16:18.000+0100},
author = {Kr\"{o}ker, I. and Br\"{u}nnette, T. and Wildt, N. and Morales Oreamuno, M. F. and Kohlhaas, R. and Oladyshkin, S. and Nowak, W.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/27262e1f6f7df0e406cce9428fc0dda18/sfb1313-puma},
doi = {10.1615/Int.J.UncertaintyQuantification.2024052675},
interhash = {de9eaed035a04353b96c336c18f24344},
intrahash = {7262e1f6f7df0e406cce9428fc0dda18},
journal = {International Journal for Uncertainty Quantification},
keywords = {pa-b pa-d rp-b4 rp-d3 sfb1313},
number = 3,
pages = {21-54},
timestamp = {2025-03-28T14:16:18.000+0100},
title = {Bayesian3 active learning for regularized multi-resolution arbitrary polynomial chaos using information theory},
volume = 15,
year = 2025
}