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Publications

Displaying results 1701 to 1710 of 14769.

  1. Pratyush Agnihotri; Carsten Binnig

    Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: Volker Markl; Joseph M. Hellerstein; Azza Abouzied (Hrsg.). Companion of the 2025 International Conference on Management of Data, SIGMOD/PODS 2025, Berlin, Germany, June 22-27, 2025. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 7-10, ACM, 2025.

  2. Johannes Wehrstein; Tiemo Bang; Roman Heinrich; Carsten Binnig

    GRACEFUL: A Learned Cost Estimator for UDFs

    In: 41st IEEE International Conference on Data Engineering, ICDE 2025, Hong Kong, May 19-23, 2025. IEEE International Conference on Data Engineering (ICDE), Pages 2450-2463, IEEE, 2025.

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

    Benchmarking Analytical Query Processing in Intel SGXv2

    In: Alkis Simitsis; Bettina Kemme; Anna Queralt; Oscar Romero; Petar Jovanovic (Hrsg.). Proceedings 28th International Conference on Extending Database Technology, EDBT 2025, Barcelona, Spain, March 25-28, 2025. International Conference on Extending Database Technology (EDBT), Pages 516-528, OpenProceedings.org, 2025.

  4. Jigao Luo; Nils Boeschen; Tobias Ziegler; Carsten Binnig

    An Evaluation of NVMe-over-Fabrics for Disaggregated Databases over Fast Networks

    In: Meike Klettke; Ralf Schenkel; Andreas Henrich; Daniela Nicklas; Maximilian E. Schüle; Klaus Meyer-Wegener (Hrsg.). Datenbanksysteme für Business, Technologie und Web (BTW 2025), 21. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 03.-07, März 2025, Bamberg, Germany, Proceedings. GI-Fachtagungen (BTW), Pages 113-125, LNI, Vol. P-361, Gesellschaft für Informatik e.V. 2025.

  5. Carsten Binnig

    Technical Perspective on 'BOSS - An Architecture for Database Kernel Composition'

    In: SIGMOD Record, Vol. 54, No. 1, Pages 1-1, SIGMOD, 2025.

  6. Paolo Papotti; Carsten Binnig

    Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both?

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5513-5515, VLDP, 2025.

  7. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5255-5258, arXiv, 2025.

  8. Jonas Günster; Puze Liu; Jan Peters; Davide Tateo

    Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning

    In: Pulkit Agrawal; Oliver Kroemer; Wolfram Burgard (Hrsg.). Conference on Robot Learning, 6-9 November 2024, Munich, Germany. Conference on Robot Learning (CoRL), Pages 4670-4697, Proceedings of Machine Learning Research, Vol. 270, PMLR, 2024.

  9. Adnan Anwer; Jameel Malik; Khawar Khurshid; Ahmed Elhayek; Ramy Battrawy; Didier Stricker; Syed Sarib Naveed; Muhammad Usman Safder

    Scene flow based deep network for hand reconstruction using depth images

    In: Scientific Reports (Sci Rep), Vol. 15(1), No. Article Number: 32726, Pages 1-24, Springer Nature, Nature Publishing Group, 9/2025.

  10. Julen Urain; Ajay Mandlekar; Yilun Du; Mahi Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

    Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.04380, Pages 1-20, arXiv, 2024.

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