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6Data-driven geometric parameter optimization for PD-GMRES
L. Duvenbeck, C. Riethmüller, and C. Rohde. (2025)
2 months ago by @simtechpuma
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6Robust and Efficient Preconditioners for Stokes--Darcy Problems
P. Strohbeck, C. Riethmüller, D. Göddeke, and I. Rybak. Finite Volumes for Complex Applications X---Volume 1, Elliptic and Parabolic Problems, page 375--383. Cham, Springer Nature Switzerland, (2023)
4 months ago by @simtechpuma
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7Quasi continuous level Monte Carlo for random elliptic PDEs
C. Beschle, and A. Barth. (2023)
4 months ago by @simtechpuma
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8Randomized Symplectic Model Order Reduction for Hamiltonian Systems
R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, and J. Fehr. (2023)
4 months ago by @simtechpuma
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6Bayesian Model Weighting: The Many Faces of Model Averaging
M. Höge, A. Guthke, and W. Nowak. Water, 12 (2): 309 (2020)
4 months ago by @simtechpuma
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13Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture
T. Praditia, T. Walser, S. Oladyshkin, and W. Nowak. Energies, 13 (15): 3873 (2020)
4 months ago by @simtechpuma
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1Randomized Symplectic Model Order Reduction for Hamiltonian Systems
R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, and J. Fehr. Large-Scale Scientific Computations, page 99--107. Cham, Springer Nature Switzerland, (2024)
4 months ago by @simtechpuma
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15Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison
T. Xu, S. Xiao, S. Reuschen, N. Wildt, H. Franssen, and W. Nowak. Hydrology and Earth System Sciences, (2024 (submitted))keine Publikation.
4 months ago by @simtechpuma
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7Development of efficient multiscale multiphysics models accounting for reversible flow at various subsurface energy storage sites
B. Becker. (2021)
4 months ago by @simtechpuma
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5Hydraulically induced fracturing in heterogeneous porous media using a TPM-phase-ﬁeld model and geostatistics
A. Wagner, A. Sonntag, S. Reuschen, W. Nowak, and W. Ehlers. Proceedings in Applied Mathematics and Mechanics, (2023)
4 months ago by @simtechpuma
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5Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems
R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, and J. Fehr. (2024)
4 months ago by @simtechpuma
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8Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds
P. Buchfink, S. Glas, and B. Haasdonk. (2023)
4 months ago by @simtechpuma
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13Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture
T. Praditia, T. Walser, S. Oladyshkin, and W. Nowak. Energies, 13 (15): 3873 (July 2020)
4 months ago by @simtechpuma
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15The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design
S. Oladyshkin, and W. Nowak. Entropy, 21 (11): 1081 (November 2019)
4 months ago by @simtechpuma
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8Inferring Boundary Conditions in Finite Volume Neural Networks
C. Horuz, M. Karlbauer, T. Praditia, M. Butz, S. Oladyshkin, W. Nowak, and S. Otte. International Conference on Artificial Neural Networks 2022, (2022)
4 months ago by @simtechpuma
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5Bayesian Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory.
I. Kröker, T. Brünnette, N. Wildt, M. Oreamuno, R. Kohlhaas, S. Oladyshkin, and W. Nowak. International Journal for Uncertainty Quantification, (2024 (submitted))nur submitted.
4 months ago by @simtechpuma
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6Neural Process Regression
S. Scheurer, and W. Nowak. geoENV2024 Book of Abstracts, page 155--156. Chania, Crete, GR, International Association of Hydrogeology – Spanish Chapter, Creative Commons Licence BY-NC-ND 4.0, (June 2024)
4 months ago by @simtechpuma
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8Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction an Uncertainty Quantification Problem
P. Buchfink, and B. Haasdonk. Numerical Mathematics and Advanced Applications ENUMATH 2019, 139, Springer International Publishing, (2021)
4 months ago by @simtechpuma
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13On Properties and Applications of Gaussian Subordinated Lévy Fields
R. Merkle, and A. Barth. Methodology and computing in applied probability, (2023)
4 months ago by @simtechpuma
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9Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory
S. Oladyshkin, F. Mohammadi, I. Kroeker, and W. Nowak. Entropy, 22 (8): 890 (August 2020)
4 months ago by @simtechpuma
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publications (hide)21
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6Data-driven geometric parameter optimization for PD-GMRES

6Robust and Efficient Preconditioners for Stokes--Darcy Problems

7Quasi continuous level Monte Carlo for random elliptic PDEs

8Randomized Symplectic Model Order Reduction for Hamiltonian Systems

6Bayesian Model Weighting: The Many Faces of Model Averaging

13Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture

1Randomized Symplectic Model Order Reduction for Hamiltonian Systems

15Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison

7Development of efficient multiscale multiphysics models accounting for reversible flow at various subsurface energy storage sites

5Hydraulically induced fracturing in heterogeneous porous media using a TPM-phase-ﬁeld model and geostatistics

5Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems

8Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds

13Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture

15The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design

8Inferring Boundary Conditions in Finite Volume Neural Networks

5Bayesian Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory.

6Neural Process Regression

8Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction an Uncertainty Quantification Problem

13On Properties and Applications of Gaussian Subordinated Lévy Fields

9Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory

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