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Papers matching “task decomposition” 31

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Combined Task and Motion Planning Via Sketch Decompositions (Extended Version with Supplementary Material)
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Magí Dalmau, Néstor García, Vicenç Gómez, Héctor Geffner

0

citations
A risk-sensitive task offloading strategy for edge computing in industrial Internet of Things
2021 EURASIP Journal on Wireless Communications and Networking article Computer Science IoT and Edge/Fog Computing Open access cited by 2 patents

Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu

9

citations
A decomposition-compatible canonization framework for the graph isomorphism problem
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Graph Theory and Algorithms Open access

Daniel Wiebking

0

citations
An Empirical Study on Chinese Character Decomposition in Multiword Expression-Aware Neural Machine Translation
2025 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Lifeng Han

0

citations
Combined Task and Motion Planning via Sketch Decompositions
2024 Proceedings of the International Conference on Automated Planning and Scheduling conference-paper Computer Science AI-based Problem Solving and Planning Open access

Magi Dalmau Moreno, Néstor García, Vicenç Gómez, Héctor Geffner

1

citations
INCOST - Intelligent Construction Site Task Scheduler
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science AI-based Problem Solving and Planning Open access

Pranav Shevkar, Görkem Can Ertemli, Sigrid Brell‐Çokcan

0

citations
A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things
2020 Research Square preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu

0

citations
INCOST - Intelligent Construction Site Task Scheduler
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science AI-based Problem Solving and Planning Open access

Pranav Shevkar, Görkem Can Ertemli, Sigrid Brell‐Çokcan

0

citations
Fog Computing Meets URLLC: Energy Minimization of Task Partial Offloading for URLLC Services
2024 IEEE Access article Computer Science IoT and Edge/Fog Computing Open access

Chenhao Shi, Jingrui Wei, Yao Lin Zhu, Anke Schmeink

3

citations
Differentiation and high-performance infrastructure for multiphysics simulation
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Computer Graphics and Visualization Techniques Open access

José Antonio Fernández-Fernández

0

citations
Implicit Assumptions About Tasks in Continual Learning
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Kathrin Korte, Christian Metzner, Akshay Bedhotiya, Viet Anh Tran, Eleni Nisioti, Sebastian Risi

0

citations
A Theoretical Model for Global Optimization of Parallel Algorithms
2021 Mathematics article Computer Science Parallel Computing and Optimization Techniques Open access

Julian Miller, Lukas Trümper, Christian Terboven

12

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations
Automating the Design of Complex Systems
2022 Cognitive technologies book-chapter Computer Science AI-based Problem Solving and Planning Open access

Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren

0

citations
Information fusion for fully automated segmentation of head and neck tumors from PET and CT images
2023 Medical Physics article Computer Science Medical Image Segmentation Techniques Open access

Isaac Shiri, Mehdi Amini, Fereshteh Yousefirizi, Alireza Vafaei Sadr, Ghasem Hajianfar, Yazdan Salimi, +7 more

21

citations
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

1

citations
Normal-Tangential Flow Response to Edge Truncation in Capacitated Networks
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

1

citations
Assessing the Similarity of Real Matrices with Arbitrary Shape
2025 PRX Life article Computer Science Matrix Theory and Algorithms Open access

Jasper Albers, Anno Christopher Kurth, Robin Gutzen, Aitor Morales-Gregorio, Michael Denker, Sonja Grün, +2 more

0

citations
Assessing the Similarity of Real Matrices with Arbitrary Shape
2025 PRX Life article Computer Science Matrix Theory and Algorithms Open access

Jasper Albers, Anno Christopher Kurth, Robin Gutzen, Aitor Morales-Gregorio, Michael Denker, Sonja Grün, +2 more

0

citations
A Unified Framework for Zero-Shot Reinforcement Learning
2026 Adaptive Agents and Multi-Agents Systems conference-paper Computer Science Reinforcement Learning in Robotics Open access

Felix Kleuker, Aske Plaat, Thomas M. Moerland

0

citations
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
2021 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Alexander Marx, Lincen Yang, Matthijs van Leeuwen

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

5

citations
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
2025 International Joint Conference on Artificial Intelligence conference-paper Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

0

citations
Learning Sketch Decompositions in Planning via Deep Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

0

citations