From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “high-dimensional problems” 42

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

High-dimensional, outcome-dependent missing data problems: Models for the human KIR loci
2025 Statistical Methods in Medical Research article Mathematics Statistical Methods and Bayesian Inference Open access

Lars L. J. van der Burg, Hein Putter, Henning Baldauf, Jürgen Sauter, Johannes Schetelig, Liesbeth C. de Wreede, +1 more

0

citations
Mini-Workshop: High-Dimensional Control Problems and Mean-Field Equations with Applications in Machine Learning
2025 Oberwolfach Reports article Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Giacomo Borghi, Elisa Iacomini, Mathias Oster, Chiara Segala

0

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2025 Numerische Mathematik article Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations
2024 Journal of Complexity article Mathematics Mathematical Approximation and Integration Open access

Markus Bachmayr, Manfred Faldum

2

citations
High-dimensional variable selection via low-dimensional adaptive learning
2021 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

11

citations
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
2024 ACM Transactions on Evolutionary Learning and Optimization article Decision Sciences Advanced Bandit Algorithms Research

Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr

28

citations
Detecting changes in the second moment structure of high-dimensional sensor-type data in a K-sample setting
2020 Sequential Analysis article Decision Sciences Advanced Statistical Process Monitoring

Nils Mause, Ansgar Steland

1

citations
A Metropolized Adaptive Subspace Algorithm for High-Dimensional Bayesian Variable Selection
2022 Bayesian Analysis article Mathematics Markov Chains and Monte Carlo Methods Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

2

citations
Fusion Consistency in High-Dimensional Logistic Regression with Factors
2026 Sankhya A article Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

0

citations
Computation and Learning in High Dimensions
2026 Oberwolfach Reports article Mathematics Mathematical Approximation and Integration Open access

Markus Bachmayr, Albert Cohen, Angela Kunoth, Olga Mula

1

citations
High-accuracy model-based reinforcement learning, a survey
2023 Artificial Intelligence Review article Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

46

citations
Simultaneous factors selection and fusion of their levels in penalized logistic regression
2024 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

1

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
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
Permutation-based multiple testing when fitting many generalized linear models
2025 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Riccardo De Santis, Jelle J. Goeman, Samuel Davenport, Jesse Hemerik, Livio Finos

1

citations
Constrained Consensus-Based Optimization
2023 SIAM Journal on Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

32

citations
Capacity of the covariance perceptron
2020 Journal of Physics A Mathematical and Theoretical article Computer Science Neural Networks and Applications Open access

7

citations
Capacity of the covariance perceptron
2020 RWTH Publications (RWTH Aachen) article Computer Science Neural Networks and Applications Open access

David Dahmen, Matthieu Gilson, Moritz Helias

6

citations
Semi‐supervised empirical Bayes group‐regularized factor regression
2022 Biometrical Journal article Mathematics Statistical Methods and Inference Open access

Magnus Münch, Mark A. van de Wiel, Aad van der Vaart, Carel F.W. Peeters

4

citations
ManQala: Game-inspired strategies for quantum state engineering
2023 AVS Quantum Science article Computer Science Quantum Computing Algorithms and Architecture

Onur Danaci, Wenlei Zhang, William Djakam, Michaela Amoo, Ryan T. Glasser, Brian T. Kirby, +2 more

1

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
A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models
2023 Journal of Computational Physics article Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

7

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
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
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