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Papers matching “high-dimensional problems” 7

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Uncertainty quantification in machine learning: confidence intervals for high-dimensional regression
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe

0

citations
Low-rank tensor methods for high-dimensional parameter-dependent PDEs: eigenvalue estimation, approximate inverses, and multigrid methods
2026 RWTH Publications (RWTH Aachen) dissertation Mathematics Tensor decomposition and applications Open access

Tim A. Werthmann

0

citations
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
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
Optimizing solvers for real-world expensive black-box optimization with applications in vehicle design
2025 Leiden Repository (Leiden University) dissertation Computer Science Metaheuristic Optimization Algorithms Research Open access

0

citations
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Stärken und Grenzen des Weisfeiler-Leman-Algorithmus
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Graph Theory Research Open access

Sandra Kiefer

7

citations

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