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Papers matching “task execution” 21

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Towards Bridging the Gap between High-Level Reasoning and Execution on Robots
2023 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann

0

citations
Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions
2023 arXiv (Cornell University) preprint Computer Science Petri Nets in System Modeling Open access

Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali

0

citations
AProVE: Modular Termination Analysis of Memory-Manipulating C Programs
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Frank Emrich, Jera Hensel, Jürgen Giesl

1

citations
LLTA: A Simplicity-Oriented Open-Source WCET Analyser
2026 arXiv (Cornell University) preprint Computer Science Real-Time Systems Scheduling Open access

Nils Hölscher, Kay Heider, Jian-Jia Chen

0

citations
MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zhong Li, Qi Huang, Yuxuan Zhu, Mohammad Mohammadi Amiri, Bas van Stein, Thomas Bäck, +3 more

0

citations
A Parallel SystemC Virtual Platform for Neuromorphic Architectures
2021 arXiv (Cornell University) preprint Computer Science Embedded Systems Design Techniques Open access

Melvin Galicia, Farhad Merchant, Rainer Leupers

0

citations
Evolving Executable Pipeline Programs for AutoML with Language Models
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Sofoklis Kitharidis, Cor J. Veenman, Jan N. van Rijn, Thomas Bäck, Bas van Stein

0

citations
Multi-Step Reasoning with Large Language Models, a Survey
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Bas van Stein, Thomas Bäck

14

citations
Learning to Use Tools via Cooperative and Interactive Agents
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, +3 more

1

citations
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Jonas Reiher, Sebastian Trimpe

0

citations
Quantum Computing for High-Energy Physics: State of the Art and Challenges
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou, Srinivasan Arunachalam, C. Bauer, +39 more

19

citations
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang

2

citations
Quantum Technologies and Edge Devices in Electrical Grids: Opportunities, Challenges, and Future Directions
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Marjorie Hoegen, René Glebke, M. Sahnawaz Alam, Alessandro David, Juan Navarro Arenas, Nikolaus Wirtz, +8 more

0

citations
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck

0

citations
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology
2023 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, +6 more

5

citations
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
2023 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Shen Gao, Zhengliang Shi, Minghang Zhu, Xin Xin, Pengjie Ren, Zhumin Chen, +1 more

2

citations
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich

1

citations
Deductive Verification for Earliest Deadline First Scheduler Implementations
2026 arXiv (Cornell University) preprint Computer Science Real-Time Systems Scheduling Open access

Daniel Kuhse, Junjie Shi, Jan Duy Thien Pham, Kay Heider, Marcus Völker, Kuan-Hsun Chen, +1 more

0

citations
High-performance cellular automaton decoders for quantum repetition and toric code
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Don Winter, Thiago L. M. Guedes, Markus Müller

0

citations
Skyhook: Towards an Arrow-Native Storage System
2022 arXiv (Cornell University) preprint Computer Science Advanced Data Storage Technologies Open access

Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez, Alexandru Uta, Jeff LeFevre, Carlos Maltzahn

0

citations
Which Algorithms Can Graph Neural Networks Learn?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, +1 more

0

citations

21 results