Bayesian Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory.. International Journal for Uncertainty Quantification, 2024 (submitted). [PUMA: 1 IWSABT:ls3 IWSAUTHOR:BruennetteTim IWSAUTHOR:KohlhaasRebecca IWSAUTHOR:KroekerIlja IWSAUTHOR:MoralesOreamunoMariaFernanda IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:WildtNils IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2024]
Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste: Introduction of a research initiative. Environmental Earth Sciences, (83)2January 2024. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:01 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2024]
Opportunities and challenges in CO2 geologic utilization and storage. Advances in Geo-Energy Research, (8)3:141-145, July 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:07 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:sscheurer]
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory. Neural Networks, (166):85-104, Elsevier, 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:KroekerIlja IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:PraditiaTimothy IWSMONTH:09 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:sscheurer peerreviewed pn5]
Physical Domain Reconstruction with Finite Volume Neural Networks. Applied Artificial Intelligence, (37)1:2204261, https://doi.org/10.1080/08839514.2023.2204261 2023. [PUMA: IWSYEAR:2023 IWSAUTHOR:OladyshkinSergey IWSTYPENR:1 from:timothypraditia EXC2075 IWSSUBTYPE:article peerreviewed 1 IWSAUTHOR:NowakWolfgang from:sscheurer pn5 IWSAUTHOR:PraditiaTimothy IWSTYPEDE:Publikationen IWSABT:ls3 IWSMONTH:04 IWSTYPEEN:articles]
Stability criteria for Bayesian calibration of reservoir sedimentation models. Modeling Earth Systems and Environment, 2023. [PUMA: 1 EXC2075 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:02 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:sscheurer peerreviewed pn5 sfb1313] URL
Information-Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem. Water Resources Research, (59)7:e2022WR033711, July 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:OreamunoMaria IWSMONTH:07 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:sscheurer from:timothypraditia]
Bayesian calibration points to misconceptions in three-dimensional hydrodynamic reservoir modelling. Water Resources Research, (59):e2022WR033660, 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:02 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:timothypraditia peerreviewed]
Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. Water Resources Research, (58)122022. [PUMA: 1 EXC2075 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:PraditiaTimothy IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2022 from:timothypraditia peerreviewed pn5]
Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems. Computational Geosciences, 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:KroekerIlja IWSAUTHOR:OladyshkinSergey IWSMONTH:07 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:timothypraditia] URL
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark. Computational Geosciences, (27)3:1-21, 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:KroekerIlja IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:04 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:timothypraditia peerreviewed]
The sparse Polynomial Chaos expansion: a fully Bayesian approach with joint priors on the coefficients and global selection of terms. Journal of Computational Physics, 112210, 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:KroekerIlja IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:05 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:timothypraditia]
A surrogate-assisted uncertainty-aware Bayesian validation framework and its application to coupling free flow and porous-medium flow. Computational Geosciences, (27)4:663--686, July 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:OladyshkinSergey IWSMONTH:07 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023]
Mixed covariance function Kriging model for uncertainty quantification. International Journal for Uncertainty Quantification, (12)3:17-30, 2022. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2022 from:timothypraditia]
Unified Bayesian inference framework for surrogate modelling: connection between existing techniques and their common fundamentals. Reliability Engineering and System Safety, 2021 (submitted). [PUMA: IWSMONTH:12 IWSYEAR:2021 IWSAUTHOR:OladyshkinSergey IWSTYPENR:1 from:timothypraditia IWSSUBTYPE:article IWSAUTHOR:NowakWolfgang IWSAUTHOR:XiaoSinan IWSTYPEDE:Publikationen IWSABT:ls3 IWSTYPEEN:articles]
Surrogate-based Bayesian Comparison of Computationally Expensive Models: Application to Microbially Induced Calcite Precipitation. Computational Geosciences, (25):1899-1917, 2021. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:ScheurerStefania IWSAUTHOR:Schäfer-Rodrigues-SilvaAline IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2021 from:timothypraditia]
Resampling method for reliability-based design optimization based on thermodynamic integration and parallel tempering. Mechanical Systems and Signal Processing, (156):107630, 2021. [PUMA: IWSABT:ls3 IWSAUTHOR:ChengKai IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:XiaoSinan IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2020 from:timothypraditia]
Bayesian3 active learning for Gaussian process emulator using information theory. Entropy, (22)0890:1-27, Multidisciplinary Digital Publishing Institute, 2020. [PUMA: IWSABT:ls3 IWSAUTHOR:KroekerIlja IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2020 from:timothypraditia]
Application of computed tomography (CT) in geologic CO_2 storage research: a critical review. Journal of Natural Gas Science and Engineering, 103591, 2020. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:OladyshkinSergey IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2020 from:timothypraditia]
Forward-reverse switch between density-based and regional sensitivity analysis. Applied Mathematical Modelling, (84):377-392, 2020. [PUMA: IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:XiaoSinan IWSMONTH:12 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2020 from:timothypraditia]