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Publikationen

Zeige Ergebnisse 1431 bis 1440 von 15035.

  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. Eray Dogan; Meghdad Mirabi; Carsten Binnig

    SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data

    In: Wei Ding; Chang-Tien Lu; Fusheng Wang; Liping Di; Kesheng Wu; Jingjun Huang; Raghu Nambiar; Jundong Li; Filip Ilievski; Ricardo Baeza-Yates; Xiaohua Hu (Hrsg.). IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024. IEEE Conference on Big Data, Pages 1566-1573, IEEE, 2024.

  7. Daniel Palenicek; Michael Lutter; Jo~ao Carvalho; Daniel Dennert; Faran Ahmad; Jan Peters

    Diminishing Return of Value Expansion Methods

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.20537, Pages 1-21, arXiv, 2024.

  8. Jo~ao Carvalho; An T. Le; Piotr Kicki; Dorothea Koert; Jan Peters

    Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.19948, Pages 1-21, arXiv, 2024.

  9. Haoran Ding; Noémie Jaquier; Jan Peters; Leonel Rozo

    Fast and Robust Visuomotor Riemannian Flow Matching Policy

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.10855, Pages 1-17, arXiv, 2024.

  10. Joao Carvalho; An T. Le; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters

    Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.08398, Pages 1-8, arXiv, 2024.

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