Sergey Oladyshkin

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 14

Top Topics

Differential Equations

Boundary Conditions

Top Venues

Reliab. Eng. Syst. Saf.

J. Comput. Phys.

Publications

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)
Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
Physical Domain Reconstruction with Finite Volume Neural Networks. Appl. Artif. Intell. 37 (1) (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)
Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML (2022)
Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
Infering Boundary Conditions in Finite Volume Neural Networks. ICANN (1) (2022)
Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR (2021)
Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR (2021)
Sinan Xiao, Sergey Oladyshkin, Wolfgang Nowak
Reliability analysis with stratified importance sampling based on adaptive Kriging. Reliab. Eng. Syst. Saf. 197 (2020)
Sergey Oladyshkin, Farid Mohammadi, Ilja Kröker, Wolfgang Nowak
Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory. Entropy 22 (8) (2020)
Sergey Oladyshkin, Wolfgang Nowak
The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design. Entropy 21 (11) (2019)
Sergey Oladyshkin, Wolfgang Nowak
Incomplete statistical information limits the utility of high-order polynomial chaos expansions. Reliab. Eng. Syst. Saf. 169 (2018)
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)
Sergey Oladyshkin, Wolfgang Nowak
Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion. Reliab. Eng. Syst. Saf. 106 (2012)