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Papers matching “high-dimensional search spaces” 19

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Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn
2022 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access

Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aarón Pérez Martín, +4 more

0

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

2

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
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
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
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck

24

citations
Local Bayesian optimization for controller tuning with crash constraints
2024 at - Automatisierungstechnik article Decision Sciences Advanced Bandit Algorithms Research Open access

Alexander von Rohr, Dominik Scheurenberg, Sebastian Trimpe

5

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
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

citations
Function Approximation
2020 Springer eBooks book-chapter Computer Science Artificial Intelligence in Games

Aske Plaat

1

citations
On Safety in Safe Bayesian Optimization
2024 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian Trimpe

3

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
Search-based versus Sampling-based Robot Motion Planning: A Comparative Study
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Georgios Sotirchos, Zlatan Ajanović

0

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2025 Journal of Chemical Theory and Computation article Physics and Astronomy Advanced Chemical Physics Studies Open access

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

9

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2024 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

1

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2024 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

1

citations
Look everywhere effects in anomaly detection
2025 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Marie Hein, Benjamin Philip Nachman, David Shih

0

citations
Adaptive Encoding Strategy for Quantum Annealing in Mixed-Variable Engineering Optimization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Fabian Key, Lukas Freinberger, Mayu Muramatsu, Norbert Hosters

0

citations
Closing the Teacher-Learner Loop: The Role of Affective Signals in Interactive RL
2024 International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) conference-paper Computer Science Reinforcement Learning in Robotics

Bernhard Hilpert

1

citations

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