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Publications

Displaying results 1881 to 1890 of 3921.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Rebecca J Herman; Jonas Wahl; Urmi Ninad; Jakob Runge

    Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery

    In: Proceedings of the Fourth Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2025), Pages 1506-1531, PMLR, Vol. 275, MLResearchPress, 2025.

  7. JUSTINE (JUST-INsert Engine): Demonstrating Self-organizing Data Schemas

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5283-5286, VLDP, 2025.

  8. Van Long Nguyen; Shaza Zeitouni; Carsten Binnig; Zsolt István

    Demonstration of Reflex: How SMPC Query Execution can be sped up through Efficient and Flexible Intermediate Result Size Trimming

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5311-5314, VLDP, 2025.

  9. Philippe Brouillard; Chandler Squires; Jonas Wahl; Konrad Körding; Karen Sachs; Alexandre Drouin; Dhanya Sridhar

    The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications

    In: Proceedings of the Fourth Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2025), Pages 834-873, Vol. 275, MLResearchPress, 2025.