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Publikationen

Zeige Ergebnisse 1491 bis 1500 von 14838.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Faeze Faghih; Tobias Ziegler; Zsolt István; Carsten Binnig

    SmartNICs in the Cloud: The Why, What and How of In-network Processing for Data-Intensive Applications

    In: Pablo Barceló; Nayat Sánchez-Pi; Alexandra Meliou; S. Sudarshan (Hrsg.). Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 556-560, ACM, 2024.

  7. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.16824, Pages 1-31, arXiv, 2024.

  8. Junning Huang; Davide Tateo; Puze Liu; Jan Peters

    Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.05054, Pages 1-8, arXiv, 2024.

  9. Dominik Straub; Tobias F. Niehues; Jan Peters; Constantin A. Rothkopf

    Inverse decision-making using neural amortized Bayesian actors

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.03710, Pages 1-22, arXiv, 2024.

  10. Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An T. Le; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters; Martin W. Hoffmann

    Machine Learning with Physics Knowledge for Prediction: A Survey

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.09840, Pages 1-61, arXiv, 2024.

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