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Publications

 

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Displaying results 71 to 80 of 797.
  1. Alberto Lerner; Matthias Jasny; Theo Jepsen; Carsten Binnig; Philippe Cudré-Mauroux

    DBMS Annihilator: A High-Performance Database Workload Generator in Action

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 12, Pages 3682-3685, Association for Computing Machinery (ACM), 2022.

  2. Marius Gassen; Benjamin Hättasch; Benjamin Hilprecht; Nadja Geisler; Alexander Fraser; Carsten Binnig

    Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 12, Pages 3586-3589, Association for Computing Machinery (ACM), 2022.

  3. Benjamin Hilprecht; Carsten Binnig

    Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 11, Pages 2361-2374, Association for Computing Machinery (ACM), 2022.

  4. Benjamin Hilprecht; Carsten Binnig

    One Model to Rule them All: Towards Zero-Shot Learning for Databases

    In: 12th Conference on Innovative Data Systems Research, CIDR 2022. Conference on Innovative Data Systems Research (CIDR-2022), January 9-12, …

  5. Sungho Suh; Sojeong Cheon; Wonseo Choi; Yeon Woong Chung; Won-Kyung Cho; Ji-Sun Paik; Sung Eun Kim; Dong-Jin Chang; Yong Oh Lee

    Supervised segmentation with domain adaptation for small sampled orbital CT images

    In: Journal of Computational Design and Engineering (JCDE), Vol. 9, No. 2, Pages 783-792, Oxford University Press, 4/2022.

  6. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User-Level Label Leakage from Gradients in Federated Learning

    In: Proceedings on Privacy Enhancing Technologies (PoPETs), Vol. 2022, No. 2, Pages 227-244, De Gruyter, 2022.

  7. Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting

    Large pre-trained language models contain human-like biases of what is right and wrong to do

    In: Nature Machine Intelligence, Vol. 4, No. 3, Pages 258-268, Springer, 2022.

  8. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Declarative Learning-Based Programming as an Interface to AI Systems

    In: Frontiers in Artificial Intelligence, Vol. 5, Pages 0-10, Frontiers, 2022.

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

    PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.16110, Pages 0-10, arXiv, 2022.

  10. Hany Abdulsamad; Peter Nickl; Pascal Klink; Jan Peters

    Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.01120, Pages 0-10, arXiv, 2022.