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Publications

Displaying results 641 to 650 of 14429.

  1. Christoph Tholen; Carolin Leluschko; Lars Nolle; Frederic Theodor Stahl

    Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods

    In: Max Bramer; Frederic Theodor Stahl (Hrsg.). Artificial Intelligence XLII. SGAI International Conference on Artificial Intelligence (AI-2025), Cham, Pages 172-184, ISBN 978-3-032-11402-0, Springer Nature Switzerland, 11/2025.

  2. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures

    In: Alice Oh; Tristan Naumann; Amir Globerson; Kate Saenko; Moritz Hardt; Sergey Levine (Hrsg.). Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. Neural Information Processing Systems (NeurIPS), Pages 1-35, ArXiv, 2023.

  3. Matthias Urban; Carsten Binnig

    ELEET: Efficient Learned Query Execution over Text and Tables

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4867-4880, VLDB, 2024.

  4. Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    Generalizable Data Cleaning of Tabular Data in Latent Space

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4786-4798, VLDP, 2024.

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

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

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  6. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-8, a, 2025.

  7. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-14, arXiv, 2025.

  8. Pratyush Agnihotri; Boris Koldehofe; Roman Heinrich; Carsten Binnig; Manisha Luthra

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

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.10704, Pages 1-22, arXiv, 2025.

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

    Reflex: Speeding Up SMPC Query Execution through Efficient and Flexible Intermediate Result Size Trimming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.20932, Pages 1-15, arXiv, 2025.

  10. Roman Heinrich; Manisha Luthra; Johannes Wehrstein; Harald Kornmayer; Carsten Binnig

    How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.01229, Pages 1-27, arXiv, 2025.

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