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Papers matching “high-dimensional problems” 106

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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
Safety in safe Bayesian optimization and its ramifications for control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Sebastian Trimpe

0

citations
ManQala: Game-Inspired Strategies for Quantum State Engineering
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

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

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
Feasibility-Driven Trust Region Bayesian Optimization
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian M. E. Duddeck

0

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

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
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
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

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
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann

6

citations
Ensemble Kalman Inversion as an Inertial Interacting Particle System
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Michael Herty, Pierpaolo Porretta, Giuseppe Visconti

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
Uncertainty Quantification For Learned ISTA
2023 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Mathematics Numerical methods in inverse problems

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

4

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
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
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
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
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
Automated importance sampling via optimal control for stochastic reaction networks: A Markovian projection–based approach
2024 Journal of Computational and Applied Mathematics article Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

2

citations
Automated Importance Sampling via Optimal Control for Stochastic Reaction Networks: A Markovian Projection-based Approach
2023 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Quasi-orthogonalization for alternating non-negative tensor factorization
2024 ETNA - Electronic Transactions on Numerical Analysis article Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Sebastian Krämer

1

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