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Papers matching “high-dimensional problems” 15

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Bayesian galactic cartography via Gaussian processes: dark matter and interstellar gas : towards a new era of data-driven high-dimensional modelling in astrophysics
2026 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Stellar, planetary, and galactic studies Open access

Laurin Söding

0

citations
Model order reduction in subset simulations using the proper orthogonal decomposition
2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Denny Thaler, Michael D. Shields, Bernd A. Markert, Franz Bamer

3

citations
Efficient localised model reduction for multiscale PDEs via Grassmannian interpolation
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Christian Alber, Markus Bachmayr, Robert Scheichl, Huqing Yang

0

citations
Autoencoder-based non-intrusive model order reduction for anisotropic and multi-physics problems
2026 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

Jannick Kehls, Ellen Kuhl, Tim Brepols, Kevin Linka, Hagen Holthusen

0

citations
Process-based machine learning for multi-physics and chemistry in geothermal applications: parameter estimation and optimization under uncertainties
2024 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Ryan Santoso

0

citations
Information Field Theory for Two Applications in Astroparticle Physics
2025 Particles article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access

Martin Erdmann, Frederik Krieger, Alex Reuzki, Josina Schulte, Maximilian Straub

0

citations
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection
2026 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann

0

citations
Comment on egusphere-2026-4171
2026 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access

Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann

0

citations
The Value of Scientific Machine Learning for Geothermal Applications
2022 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Mauro Cacace, Mohammad Moulaeifard, Florian Wellmann

2

citations
Reduced Order Model Predictive Control for Parametrized Parabolic Partial Differential Equations
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Saskia Dietze, Martin Grepl

0

citations
Benefits of Global Sensitivity Analysis and Reduced Order Modeling for Basin-Scale Process Simulations
2021 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Mauro Cacace, Cameron Spooner, Magdalena Scheck‐Wenderoth, Florian Wellmann

0

citations
The Application of Neural Operator in subsurface process simulation
2021 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Zhouji Liang, Denise Degen, Florian Wellmann

0

citations
Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows
2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access

Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, +2 more

150

citations
3D multi-physics uncertainty quantification using physics-based machine learning
2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Mauro Cacace, Florian Wellmann

30

citations
Parametric Model Order Reduction of Variable Parameter Axial Dispersion Model
2021 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Physics and Astronomy Model Reduction and Neural Networks

Ahmed Elkhashap, Dirk Abel

2

citations

15 results