Wolfgang Nowak

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 22

Top Topics

Top Venues

SIAM/ASA J. Uncertain. Quantification

Reliab. Eng. Syst. Saf.

Publications

Tim Schneider, Amin Totounferoush, Wolfgang Nowak, Steffen Staab
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning. CoRR (2023)
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)
Christoph Dibak, Wolfgang Nowak, Frank Dürr, Kurt Rothermel
Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations. IEEE Trans. Mob. Comput. 22 (3) (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)
Hossein Zare, Tobias K. D. Weber, Joachim Ingwersen, Wolfgang Nowak, Sebastian Gayler, Thilo Streck
Combining Crop Modeling with Remote Sensing Data Using a Particle Filtering Technique to Produce Real-Time Forecasts of Winter Wheat Yields under Uncertain Boundary Conditions. Remote. Sens. 14 (6) (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)
Michael Sinsbeck, Emily Cooke, Wolfgang Nowak
Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence. SIAM/ASA J. Uncertain. Quantification 9 (1) (2021)
Michael Sinsbeck, Marvin Höge, Wolfgang Nowak
Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods - At the Example of Bayesian Inverse Problems. Frontiers Artif. Intell. 3 (2020)
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)
Christoph Dibak, Wolfgang Nowak, Frank Dürr, Kurt Rothermel
Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations. CoRR (2019)
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)
Michael Sinsbeck, Wolfgang Nowak
Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Daniel Wirtz, Wolfgang Nowak
The rocky road to extended simulation frameworks covering uncertainty, inversion, optimization and control. Environ. Model. Softw. 93 (2017)
Wolfgang Nowak, Anneli Guthke
Entropy-Based Experimental Design for Optimal Model Discrimination in the Geosciences. Entropy 18 (11) (2016)
Philipp C. Leube, Felipe P. J. de Barros, Wolfgang Nowak, Ram Rajagopal
Towards optimal allocation of computer resources: Trade-offs between uncertainty quantification, discretization and model reduction. Environ. Model. Softw. 50 (2013)
Sergey Oladyshkin, Wolfgang Nowak
Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion. Reliab. Eng. Syst. Saf. 106 (2012)
Marcel Hlawatsch, Philipp C. Leube, Wolfgang Nowak, Daniel Weiskopf
Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty. IEEE Trans. Vis. Comput. Graph. 17 (12) (2011)