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Papers matching “high-dimensional problems” 14

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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
Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation
2024 Journal of Intelligent Manufacturing article Engineering Digital Transformation in Industry Open access

Ruben Kins, Christian Möbitz, Thomas Gries

4

citations
With or Without Replacement? Improving Confidence in Fourier Imaging
2024 conference-paper Engineering Sparse and Compressive Sensing Techniques

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion Irene Menzel, Holger Rauhut

0

citations
With or Without Replacement? Improving Confidence in Fourier Imaging
2024 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion Irene Menzel, Holger Rauhut

0

citations
Lattice–Boltzmann simulations for complex geometries on high-performance computers
2020 CEAS Aeronautical Journal article Engineering Lattice Boltzmann Simulation Studies Open access

Andreas Lintermann, Wolfgang Schröder

19

citations
Uncertainty quantification for learned ISTA
2023 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut

0

citations
Twin-in-the-Loop observer tuning via gradient-information Bayesian optimization with line search
2026 Control Engineering Practice article Engineering Control Systems and Identification Open access

Giacomo Delcaro, Johanna Menn, Sergio M. Savaresi, Sebastian Trimpe, Simone Formentin

2

citations
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders
2021 IEEE Congress on Evolutionary Computation (CEC) conference-paper Engineering 3D Shape Modeling and Analysis

Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel

13

citations
Path-Dependency and Emergent Computing under Vectorial Driving
2026 Physical Review X article Engineering Advanced Materials and Mechanics Open access

Colin M. Meulblok, A. Singh, Matthieu Labousse, Martin van Hecke

1

citations
Multimodal Multi-User Surface Recognition With the Kernel Two-Sample Test
2023 IEEE Transactions on Automation Science and Engineering article Engineering Robot Manipulation and Learning Open access

Behnam Khojasteh, Friedrich Solowjow, Sebastian Trimpe, Katherine J. Kuchenbecker

6

citations
Wireless Powered Short Packet Communications with Multiple WPT Sources
2023 arXiv (Cornell University) preprint Engineering Energy Harvesting in Wireless Networks Open access

Ning Guo, Xiaopeng Yuan, Yulin Hu, Anke Schmeink

2

citations
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe

0

citations
Sampling Strategies for Compressive Imaging Under Statistical Noise
2023 International Conference on Sampling Theory and Applications conference-paper Engineering Sparse and Compressive Sensing Techniques

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut

1

citations
Data/moment-driven approaches for fast predictive control of collective dynamics
2024 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Giacomo Albi, Sara Bicego, Michaël Herty, Yuyang Huang, Dante Kalise, Chiara Segala

0

citations

14 results