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Ilja Kröker
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 8
Top Topics
Fully Bayesian
Multi Layer Perceptron
Top Venues
CoRR
J. Comput. Phys.
J. Comput. Appl. Math.
Reliab. Eng. Syst. Saf.
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Publications
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Paul-Christian Bürkner
,
Ilja Kröker
,
Sergey Oladyshkin
,
Wolfgang Nowak
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms.
J. Comput. Phys.
488 (2023)
Sergey Oladyshkin
,
Timothy Praditia
,
Ilja Kröker
,
Farid Mohammadi
,
Wolfgang Nowak
,
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 (2023)
Sergey Oladyshkin
,
Timothy Praditia
,
Ilja Kröker
,
Farid Mohammadi
,
Wolfgang Nowak
,
Sebastian Otte
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory.
CoRR
(2023)
Ilja Kröker
,
Sergey Oladyshkin
Arbitrary multi-resolution multi-wavelet-based polynomial chaos expansion for data-driven uncertainty quantification.
Reliab. Eng. Syst. Saf.
222 (2022)
Sergey Oladyshkin
,
Farid Mohammadi
,
Ilja Kröker
,
Wolfgang Nowak
Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory.
Entropy
22 (8) (2020)
Raimund Bürger
,
Ilja Kröker
Computational uncertainty quantification for some strongly degenerate parabolic convection-diffusion equations.
J. Comput. Appl. Math.
348 (2019)
Markus Köppel
,
Fabian Franzelin
,
Ilja Kröker
,
Sergey Oladyshkin
,
Gabriele Santin
,
Dominik Wittwar
,
Andrea Barth
,
Bernard Haasdonk
,
Wolfgang Nowak
,
Dirk Pflüger
,
Christian Rohde
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario.
CoRR
(2018)
Andrea Barth
,
Raimund Bürger
,
Ilja Kröker
,
Christian Rohde
Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach.
Comput. Chem. Eng.
89 (2016)