Ilja Kröker

According to our database, Ilja Kröker authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.

Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte

Neural Networks, September, 2023

A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms.

Paul-Christian Bürkner, Ilja Kröker, Sergey Oladyshkin, Wolfgang Nowak

J. Comput. Phys., September, 2023

2022

Arbitrary multi-resolution multi-wavelet-based polynomial chaos expansion for data-driven uncertainty quantification.

Ilja Kröker, Sergey Oladyshkin

Reliab. Eng. Syst. Saf., 2022

2020

Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory.

Sergey Oladyshkin, Farid Mohammadi, Ilja Kröker, Wolfgang Nowak

Entropy, 2020

2019

Computational uncertainty quantification for some strongly degenerate parabolic convection-diffusion equations.

Raimund Bürger, Ilja Kröker

J. Comput. Appl. Math., 2019

2018

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario.

Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde

CoRR, 2018

2016

Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach.

Andrea Barth, Raimund Bürger, Ilja Kröker, Christian Rohde

Comput. Chem. Eng., 2016