Wolfgang Nowak

32 papers A* 1Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reliability sensitivity analysis with multiple failure domains based on an extended two-stage Markov chain Monte Carlo simulation. Reliab. Eng. Syst. Saf. Sinan Xiao, Wolfgang Nowak
2026	J	`jnl`	Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. Trans. Mach. Learn. Res. Stefania Scheurer, Philipp Reiser, Tim Brünnette, Wolfgang Nowak, Anneli Guthke, Paul-Christian Bürkner
2025	J	`jnl`	CODE: A global approach to ODE dynamics learning. CoRR Nils Wildt, Daniel M. Tartakovsky, Sergey Oladyshkin, Wolfgang Nowak
2025	J	`jnl`	HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time. CoRR Louisa Pawusch, Stefania Scheurer, Wolfgang Nowak, Reed Maxwell
2025	J	`jnl`	Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. CoRR Stefania Scheurer, Philipp Reiser, Tim Brünnette, Wolfgang Nowak, Anneli Guthke, Paul-Christian Bürkner
2024	J	`jnl`	Inferring Underwater Topography with FINN. CoRR Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2024	J	`jnl`	Overdispersion in Gate Tomography: Experiments and Continuous, Two-Scale Random Walk Model on the Bloch Sphere. ACM Trans. Quantum Comput. Wolfgang Nowak, Tim Brünnette, Merel Annelise Schalkers, Matthias Möller
2023	J	`jnl`	A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms. J. Comput. Phys. Paul-Christian Bürkner, Ilja Kröker, Sergey Oladyshkin, Wolfgang Nowak
2023	J	`jnl`	Physical Domain Reconstruction with Finite Volume Neural Networks. Appl. Artif. Intell. Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2023	J	`jnl`	Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning. CoRR Tim Schneider, Amin Totounferoush, Wolfgang Nowak, Steffen Staab
2023	J	`jnl`	The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory. CoRR Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte
2023	J	`jnl`	The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte
2023	J	`jnl`	Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations. IEEE Trans. Mob. Comput. Christoph Dibak, Wolfgang Nowak, Frank Dürr, Kurt Rothermel
2022	J	`jnl`	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. Hossein Zare, Tobias K. D. Weber, Joachim Ingwersen, Wolfgang Nowak, Sebastian Gayler, Thilo Streck
2022	A*	`conf`	Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
2022	—	`conf`	Infering Boundary Conditions in Finite Volume Neural Networks. ICANN (1) Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2021	J	`jnl`	Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
2021	J	`jnl`	Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak
2021	J	`jnl`	Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence. SIAM/ASA J. Uncertain. Quantification Michael Sinsbeck, Emily Cooke, Wolfgang Nowak
2020	J	`jnl`	Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory. Entropy Sergey Oladyshkin, Farid Mohammadi, Ilja Kröker, Wolfgang Nowak
2020	J	`jnl`	Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods - At the Example of Bayesian Inverse Problems. Frontiers Artif. Intell. Michael Sinsbeck, Marvin Höge, Wolfgang Nowak
2020	J	`jnl`	Reliability analysis with stratified importance sampling based on adaptive Kriging. Reliab. Eng. Syst. Saf. Sinan Xiao, Sergey Oladyshkin, Wolfgang Nowak
2019	J	`jnl`	The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design. Entropy Sergey Oladyshkin, Wolfgang Nowak
2019	J	`jnl`	Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations. CoRR Christoph Dibak, Wolfgang Nowak, Frank Dürr, Kurt Rothermel
2018	J	`jnl`	Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. CoRR Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde
2018	J	`jnl`	Incomplete statistical information limits the utility of high-order polynomial chaos expansions. Reliab. Eng. Syst. Saf. Sergey Oladyshkin, Wolfgang Nowak
2017	J	`jnl`	Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Michael Sinsbeck, Wolfgang Nowak
2017	J	`jnl`	The rocky road to extended simulation frameworks covering uncertainty, inversion, optimization and control. Environ. Model. Softw. Daniel Wirtz, Wolfgang Nowak
2016	J	`jnl`	Entropy-Based Experimental Design for Optimal Model Discrimination in the Geosciences. Entropy Wolfgang Nowak, Anneli Guthke
2013	J	`jnl`	Towards optimal allocation of computer resources: Trade-offs between uncertainty quantification, discretization and model reduction. Environ. Model. Softw. Philipp C. Leube, Felipe P. J. de Barros, Wolfgang Nowak, Ram Rajagopal
2012	J	`jnl`	Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion. Reliab. Eng. Syst. Saf. Sergey Oladyshkin, Wolfgang Nowak
2011	J	`jnl`	Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty. IEEE Trans. Vis. Comput. Graph. Marcel Hlawatsch, Philipp C. Leube, Wolfgang Nowak, Daniel Weiskopf