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Publikationen

Zeige Ergebnisse 1511 bis 1520 von 15196.

  1. Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig

    Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes

    In: Letizia Tanca; Qiong Luo; Giuseppe Polese; Loredana Caruccio; Xavier Oriol; Donatella Firmani (Hrsg.). Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, March 25 - March 28. International Conference on Extending Database Technology (EDBT), Pages 725-733, OpenProceedings.org, 2024.

  2. Carsten Binnig; Nesime Tatbul

    International Workshop on Data Management on New Hardware (DaMoN)

    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 645-646, ACM, 2024.

  3. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

  4. 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.

  5. 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.

  6. Antonia Wüst; Tim Woydt; Lukas Helff; Devendra Singh Dhami; Constantin A. Rothkopf; Kristian Kersting

    Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.19546, Pages 1-25, arXiv, 2024.

  7. Maurice Kraus; Felix Divo; Devendra Singh Dhami; Kristian Kersting

    xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.16928, Pages 1-16, arXiv, 2024.

  8. Nils Grandien; Quentin Delfosse; Kristian Kersting

    Interpretable end-to-end Neurosymbolic Reinforcement Learning agents

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.14371, Pages 1-19, arXiv, 2024.

  9. Moritz Willig; Tim Nelson Tobiasch; Florian Peter Busch; Jonas Seng; Devendra Singh Dhami; Kristian Kersting

    Systems with Switching Causal Relations: A Meta-Causal Perspective

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.13054, Pages 1-21, arXiv, 2024.

  10. Hikaru Shindo; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting

    BlendRL: A Framework for Merging Symbolic and Neural Policy Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.11689, Pages 1-32, arXiv, 2024.

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