E-LIB Suche - Ergebnisse für: Oladyshkin, Sergey

1

Uncertainties and robustness with regard to the safety of a..:

Kurgyis, Kata ; Achtziger-Zupančič, Peter ; Bjorge, Merle...
Environmental Earth Sciences. 83 (2024) 2 - p. , 2024

Link: https://doi.org/10.1007/..

2

Physical Domain Reconstruction with Finite Volume Neural Ne..:

Horuz, Coşku Can ; Karlbauer, Matthias ; Praditia, Timothy...
Applied Artificial Intelligence. 37 (2023) 1 - p. , 2023

Link: https://doi.org/10.1080/..

3

Global sensitivity analysis using multi-resolution polynomi..:

Kröker, Ilja ; Oladyshkin, Sergey ; Rybak, Iryna
Computational Geosciences. 27 (2023) 5 - p. 805-827 , 2023

Link: https://doi.org/10.1007/..

4

A fully Bayesian sparse polynomial chaos expansion approach..:

Bürkner, Paul-Christian ; Kröker, Ilja ; Oladyshkin, Sergey.
Journal of Computational Physics. 488 (2023) - p. 112210 , 2023

Link: https://doi.org/10.1016/..

5

A surrogate-assisted uncertainty-aware Bayesian validation ..:

Mohammadi, Farid ; Eggenweiler, Elissa ; Flemisch, Bernd...
Computational Geosciences. 27 (2023) 4 - p. 663-686 , 2023

Link: https://doi.org/10.1007/..

6

Bayesian Calibration Points to Misconceptions in Three‐Dime..:

Schwindt, Sebastian ; Callau Medrano, Sergio ; Mouris, Kilian...
Water Resources Research. 59 (2023) 3 - p. , 2023

Link: https://doi.org/10.1029/..

7

Gaussian active learning on multi-resolution arbitrary poly..:

Kohlhaas, Rebecca ; Kröker, Ilja ; Oladyshkin, Sergey.
Computational Geosciences. 27 (2023) 3 - p. 369-389 , 2023

Link: https://doi.org/10.1007/..

8

The deep arbitrary polynomial chaos neural network or how D..:

Oladyshkin, Sergey ; Praditia, Timothy ; Kroeker, Ilja...
Neural Networks. 166 (2023) - p. 85-104 , 2023

Link: https://doi.org/10.1016/..

9

Stability criteria for Bayesian calibration of reservoir se..:

Mouris, Kilian ; Acuna Espinoza, Eduardo ; Schwindt, Sebastian...
Modeling Earth Systems and Environment. 9 (2023) 3 - p. 3643-3661 , 2023

Link: https://doi.org/10.1007/..

10

Information‐Theoretic Scores for Bayesian Model Selection a..:

Morales Oreamuno, Maria Fernanda ; Oladyshkin, Sergey ; Nowak, Wolfgang
Water Resources Research. 59 (2023) 7 - p. , 2023

Link: https://doi.org/10.1029/..

11

Learning Groundwater Contaminant Diffusion‐Sorption Process..:

Praditia, Timothy ; Karlbauer, Matthias ; Otte, Sebastian...
Water Resources Research. 58 (2022) 12 - p. , 2022

Link: https://doi.org/10.1029/..

12

Arbitrary multi-resolution multi-wavelet-based polynomial c..:

Kröker, Ilja ; Oladyshkin, Sergey
Reliability Engineering & System Safety. 222 (2022) - p. 108376 , 2022

Link: https://doi.org/10.1016/..

13

Infering Boundary Conditions in Finite Volume Neural Networ..:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2022,

Horuz, Coşku Can ; Karlbauer, Matthias ; Praditia, Timothy... - p. 538-549 , 2022

Link: https://doi.org/10.1007/..

14

Surrogate-based Bayesian comparison of computationally expe..:

Scheurer, Stefania ; Schäfer Rodrigues Silva, Aline ; Mohammadi, Farid...
Computational Geosciences. 25 (2021) 6 - p. 1899-1917 , 2021

Link: https://doi.org/10.1007/..

15

Global sensitivity analysis of a CaO/Ca(OH)2 thermochemical..:

Xiao, Sinan ; Praditia, Timothy ; Oladyshkin, Sergey.
Applied Energy. 285 (2021) - p. 116456 , 2021

Link: https://doi.org/10.1016/..