Ilja  Kröker
Cited by
Cited by
Finite volume schemes for hyperbolic balance laws with multiplicative noise
I Kröker, C Rohde
Applied Numerical Mathematics 62 (4), 441-456, 2012
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario
M Köppel, F Franzelin, I Kröker, S Oladyshkin, G Santin, D Wittwar, ...
Computational Geosciences 23, 339-354, 2019
A hybrid stochastic Galerkin method for uncertainty quantification applied to a conservation law modelling a clarifier‐thickener unit
R Bürger, I Kröker, C Rohde
ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2014
A stochastically and spatially adaptive parallel scheme for uncertain and nonlinear two-phase flow problems
I Kröker, W Nowak, C Rohde
Computational Geosciences 19, 269-284, 2015
Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach
A Barth, R Bürger, I Kröker, C Rohde
Computers & Chemical Engineering 89, 11-26, 2016
Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory
S Oladyshkin, F Mohammadi, I Kroeker, W Nowak
Entropy 22 (8), 890, 2020
Uncertainty Quantification for a Clarifier–Thickener Model with Random Feed
R Bürger, I Kröker, C Rohde
Finite Volumes for Complex Applications VI Problems & Perspectives: FVCA 6 …, 2011
Stochastic modeling for heterogeneous two-phase flow
M Köppel, I Kröker, C Rohde
Finite Volumes for Complex Applications VII-Methods and Theoretical Aspects …, 2014
Intrusive uncertainty quantification for hyperbolic-elliptic systems governing two-phase flow in heterogeneous porous media
M Köppel, I Kröker, C Rohde
Computational Geosciences 21, 807-832, 2017
Computational uncertainty quantification for some strongly degenerate parabolic convection–diffusion equations
R Bürger, I Kröker
Journal of Computational and Applied Mathematics 348, 490-508, 2019
Hybrid stochastic Galerkin finite volumes for the diffusively corrected Lighthill-Whitham-Richards traffic model
R Bürger, I Kröker
Finite Volumes for Complex Applications VIII-Hyperbolic, Elliptic and …, 2017
Finite volume methods for conservation laws with noise
I Kröker
Finite volumes for complex applications V, 527-534, 2008
Arbitrary multi-resolution multi-wavelet-based polynomial chaos expansion for data-driven uncertainty quantification
I Kröker, S Oladyshkin
Reliability Engineering & System Safety 222, 108376, 2022
A hybrid stochastic Galerkin method for uncertainty quantification applied to a conservation law modelling a clarifier-thickener unit with several random sources
A Barth, R Bürger, I Kröker, C Rohde
Preprint 34, 2015
Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems
I Kroeker, S Oladyshkin, I Rybak
Optimal Exposure Time in Gamma-Ray Attenuation Experiments for Monitoring Time-Dependent Densities
A Gonzalez-Nicolas, D Bilgic, I Kröker, A Mayar, L Trevisan, H Steeb, ...
Transport in Porous Media 143 (2), 463-496, 2022
The sparse Polynomial Chaos expansion: a fully Bayesian approach with joint priors on the coefficients and global selection of terms
PC Bürkner, I Kröker, S Oladyshkin, W Nowak
arXiv preprint arXiv:2204.06043, 2022
Finite Volume Methods for Hyperbolic Partial Differential Equations with Spatial Noise
A Barth, I Kröker
Theory, Numerics and Applications of Hyperbolic Problems I: Aachen, Germany …, 2018
Stochastic models for nonlinear convection-dominated flows
I Kröker
Verlag Dr. Hut, 2013
Numerical methods for stochastic conservation laws Milestone Report
I Kröker
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