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Publikationen

Zeige Ergebnisse 1431 bis 1440 von 14584.

  1. Christopher E. Mower; Yuhui Wan; Hongzhan Yu; Antoine Grosnit; Jonas Gonzalez-Billandon; Matthieu Zimmer; Jinlong Wang; Xinyu Zhang; Yao Zhao; Anbang Zhai; Puze Liu; Davide Tateo; Cesar Cadena; Marco Hutter; Jan Peters; Guangjian Tian; Yuzheng Zhuang; Kun Shao; Xingyue Quan; Jianye Hao; Jun Wang; Haitham Bou-Ammar

    ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.19741, Pages 1-26, arXiv, 2024.

  2. Luca Lach; Robert Haschke; Davide Tateo; Jan Peters; Helge J. Ritter; Júlia Borràs Sol; Carme Torras

    Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 725-732, IEEE, 2024.

  3. Duy Minh Ho Nguyen; An Thai Le; Trung Nguyen; Nghiem Tuong Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: Vu Nguyen; Hsuan-Tien Lin (Hrsg.). Asian Conference on Machine Learning, 5-8 December 2024, Hanoi, Vietnam. Asian Conference on Machine Learning (ACML), Pages 687-702, Proceedings of Machine Learning Research, Vol. 260, PMLR, 2024.

  4. Eray Dogan; Meghdad Mirabi; Carsten Binnig

    SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data

    In: Wei Ding; Chang-Tien Lu; Fusheng Wang; Liping Di; Kesheng Wu; Jingjun Huang; Raghu Nambiar; Jundong Li; Filip Ilievski; Ricardo Baeza-Yates; Xiaohua Hu (Hrsg.). IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024. IEEE Conference on Big Data, Pages 1566-1573, IEEE, 2024.

  5. Matthias Jasny; Lasse Thostrup; Sajjad Tamimi; Andreas Koch; Zsolt István; Carsten Binnig

    Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs

    In: Proceedings of the ACM on Management of Data (PACMMOD), Vol. 2, No. 1, Pages 36:1-36:28, ACM Digital Library, 2024.

  6. Nils Boeschen; Tobias Ziegler; Carsten Binnig

    GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP

    In: Proceedings of the ACM on Management of Data (PACMMOD), Vol. 2, No. 6, Pages 237:1-237:26, ACM Digital Library, 2024.

  7. David F. Bacon; Carsten Binnig; David Patterson; Margo I. Seltzer

    Hardware Support for Cloud Database Systems in the Post-Moore's Law Era (Dagstuhl Seminar 24162)

    In: Dagstuhl Reports, Vol. 14, No. 4, Pages 54-84, Dagstuhl, 2024.

  8. Matthias Urban; Carsten Binnig

    Efficient Learned Query Execution over Text and Tables [Technical Report]

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.22522, Pages 1-23, arXiv, 2024.

  9. Yannis Chronis; Yawen Wang; Lyubomir Ganev; Sami Abu-El-Haija; Chelsea Lin; Carsten Binnig; Fatma Özcan

    CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.16170, Pages 1-12, arXiv, 2024.

  10. Adrian Lutsch; Muhammad El-Hindi; Matthias Heinrich; Daniel Ritter; Zsolt István; Carsten Binnig

    Benchmarking Analytical Query Processing in Intel SGXv2

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.11874, Pages 1-13, arXiv, 2024.

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