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Papers matching “Bayesian optimal estimation” 19

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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
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

citations
Sparse Bayesian learning for label efficiency in cardiac real-time MRI
2025 Statistics and Computing article Computer Science Medical Image Segmentation Techniques Open access

Anja Bach, Achim Basermann, Darius A. Gerlach, Philipp Knechtges, Jens Tank, Raul F. Tempone, +1 more

0

citations
Lindblad-like quantum tomography for non-Markovian quantum dynamical maps
2025 npj Quantum Information article Computer Science Quantum Information and Cryptography Open access

Santiago Varona, Markus Michael Müller, A. Bermúdez

3

citations
LSTM-based Inverse Dynamics Learning for Franka Emika Robot
2024 International Conference on Control, Automation and Diagnosis (ICCAD) conference-paper Computer Science Reinforcement Learning in Robotics

Jan-Niklas Schneider, Leon Gorißen, Thomas Käster, Philipp Walderich, Christian Hinke

1

citations
Nicht-parametrische Schätzung von Kundensegmenten mit Paneldaten
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Bayesian Methods and Mixture Models Open access

Johannes Ferdinand Jörg

1

citations
Mixture distributions as exponential families
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Bayesian Methods and Mixture Models Open access

Zhe Su

0

citations
Multi-point acquisition function for constraint parallel efficient multi-objective optimization
2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Roy de Winter, Bas van Stein, Thomas Bäck

8

citations
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems
2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Machine Learning and Data Classification Open access

Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, +1 more

12

citations
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning
2021 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access cited by 2 patents

Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman

13

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
Robot Learning With Crash Constraints
2021 IEEE Robotics and Automation Letters article Computer Science Reinforcement Learning in Robotics Open access

24

citations
Robot Learning With Crash Constraints
2021 RWTH Publications (RWTH Aachen) article Computer Science Reinforcement Learning in Robotics

Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti

19

citations
When Should an In-Context Learner Expand Its Hypothesis Space?
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Weihan Li, Xinlei Chen, Junhao Wu, Tianshi Zheng

0

citations
Machine Learning as a Novel Method to Support Therapeutic Drug Management and Precision Dosing
2021 Clinical Pharmacology & Therapeutics article Computer Science Machine Learning in Healthcare Open access

Teun van Gelder, Alexander A. T. M. M. Vinks

25

citations
A New Separation Index and Classification Techniques Based on Shannon Entropy
2023 Methodology And Computing In Applied Probability article Computer Science Bayesian Methods and Mixture Models Open access

Jorge Navarro, Francesco Buono, Jorge M. Arevalillo

9

citations
Probabilistic machine learning for pattern recognition and design exploration
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Cremanns

3

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

19 results