Publications

Ilja Kröker, Elisabeth Nißler, Sergey Oladyshkin, Wolfgang Nowak, and Claus Haslauer. Data-driven surrogate-based Bayesian model calibration for predicting vadose zone temperatures in drinking water supply pipes. Geophys. Res. Abstr., (25, EGU2024-7820)April 2024. [PUMA: 2 HaslauerClaus IWSABT:ls3 IWSAUTHOR: IWSAUTHOR:KroekerIlja IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

Ilja Kröker, Tim Brünnette, Nils Wildt, Maria Fernanda Morales Oreamuno, Rebecca Kohlhaas, Sergey Oladyshkin, and Wolfgang Nowak. 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]

Raimund Bürger, Gerardo Chowell, Ilja Kröker, and Leidy Yissedt Lara-Díaz. A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile. Journal of Biological Dynamics, (17)1:2256774, Taylor & Francis, 2023. [PUMA: 1 IWSABT:ls3 IWSAUTHOR:KroekerIlja IWSMONTH:09 IWSSUBTYPE:article IWSTYPEDE:Publikationen IWSTYPEEN:articles IWSTYPENR:1 IWSYEAR:2023 from:sscheurer]

Sergey Oladyshkin, Timothy Praditia, Ilja Kroeker, Farid Mohammadi, Wolfgang Nowak, and Sebastian Otte. 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]

Ilja Kröker, Sergey Oladyshkin, and Iryna Rybak. 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