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Papers matching “learned heuristics” 64

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SLOPE: Search with Learned Optimal Pruning-based Expansion
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Davor Bokan, Zlatan Ajanović, Bakir Lačević

0

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

15

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2022 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

1

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
What Do Temporal Graph Learning Models Learn?
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Abigail J. Hayes, Tobias Schumacher, Markus Strohmaier

0

citations
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
2025 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Martin Grohe

0

citations
Exploring Augmented Reality for Teaching Design for Additive Manufacturing
2022 conference-paper Computer Science Augmented Reality Applications

Gustavo Melo, Lucas Jauer, Johannes Henrich Schleifenbaum

3

citations
INVESTIGATING THE USE OF AUGMENTED REALITY IN THE DESIGN FOR ADDITIVE MANUFACTURING
2022 DS 117: Proceedings of the 24th International Conference on Engineering and Product Design Education (E&PDE 2022), London South Bank University in London, UK. 8th - 9th September 2022 conference-paper Engineering Manufacturing Process and Optimization

Gustavo Melo, Lucas Jauer, Johannes Henrich Schleifenbaum

1

citations
A Model-Driven Generative Self Play-Based Toolchain for Developing Games and Players
2022 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE) conference-paper Computer Science Artificial Intelligence in Games

Evgeny Kusmenko, Maximilian Münker, Matthias Nadenau, Bernhard Rumpe⋆

2

citations
Heuristic Guided Hierarchical Reinforcement Learning Approach For The Economic Improvement Of Production Lines
2023 Procedia CIRP article Engineering Scheduling and Optimization Algorithms Open access

Günther Schuh, Seth Schmitz, Jan Maetschke, Benedict Janssen, Hanna Offermanns

0

citations
Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
2026 arXiv (Cornell University) preprint Engineering Autonomous Vehicle Technology and Safety Open access

Jianye Xu, Bassam Alrifaee

0

citations
Differentiable Learning of Lifted Action Schemas for Classical Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Reiter, Jakob Elias Gebler, Hector Geffner

0

citations
Deep representation learning and reinforcement learning for workpiece setup optimization in CNC milling
2023 Production Engineering article Engineering Advanced machining processes and optimization Open access

Владимир Самсонов, Enslin Chrismarie, Hans-Georg Köpken, Schirin Bär, Daniel Lütticke, Tobias Meisen

14

citations
Multimodal Multi-User Surface Recognition With the Kernel Two-Sample Test
2023 IEEE Transactions on Automation Science and Engineering article Neuroscience Tactile and Sensory Interactions Open access

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

6

citations
Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Real-Time Systems Scheduling Open access

Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen, Zdeněk Hanzálek, Paul Pop

0

citations
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Multi-Agent Systems and Negotiation Open access

Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker

0

citations
Wirtschaftliche Leistungssteigerung von Produktionslinien ; 1. Auflage
2025 dissertation Engineering Flexible and Reconfigurable Manufacturing Systems Open access

Jan Maetschke

0

citations
Machine learning with classical data
2025 Cambridge University Press eBooks book-chapter Computer Science Computational Physics and Python Applications Open access

0

citations
Weisfeiler and Leman go Machine Learning: The Story so far
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, +1 more

27

citations
Automatisierte Entscheidungsfindung zur Auftragsfreigabe komplexer Materialflüsse; 1. Auflage
2026 RWTH Publications (RWTH Aachen) book Engineering Flexible and Reconfigurable Manufacturing Systems Open access

Tim Konstantin Janke

0

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access cited by 1 patent

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

48

citations
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
2020 conference-paper Computer Science Human Pose and Action Recognition Open access cited by 1 patent

Bastian Leibe

20

citations
Deep reinforcement learning for the optimized operation of large amounts of distributed renewable energy assets
2022 Energy and AI article Engineering Smart Grid Energy Management Open access

Jan Martin Specht, Reinhard Madlener

18

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

9

citations
Ordered Subgraph Aggregation Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert

8

citations