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Publications

Displaying results 2811 to 2820 of 15017.
  1. Matthias Jasny; Lasse Thostrup; Carsten Binnig

    Zero-sided RDMA: Network-driven Data Shuffling

    In: Norman May; Nesime Tatbul (Hrsg.). Proceedings of the 19th International Workshop on Data Management on New Hardware, DaMoN 2023, Seattle, WA, USA, June 18-23, 2023. International Workshop on Data Management on New Hardware (DaMoN), Pages 82-85, ACM, 2023.

  2. Cathleen M. Stützer; Milos Kravcik

    Künstliche Intelligenz in der Hochschulbildung. Bildungssoziologische Perspektiven und Herausforderungen

    In: Claudia de Witt; Christina Gloerfeld; Silke Elisabeth Wrede. Künstliche Intelligenz in der Bildung. Pages 219-239, ISBN 978-3-658-40078-1, Springer VS, Wiesbaden, 11/2023.

  3. Avinesh P. V. S.; Carsten Binnig; Benjamin Hättasch; Christian M. Meyer; Orkan Özyurt

    Sherlock: A System for Interactive Summarization of Large Text Collections

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 11, No. 12, Pages 1902-1905, Association for Computing Machinery (ACM), 2018.

  4. Don't freeze: Finetune encoders for better Self-Supervised HAR

    In: Monica Tentori; Nadir Weibel; Kristof Van Laerhoven; Zhongyi Zhou (Hrsg.). Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), ACM, 10/2023.

  5. Tobias Ziegler; Philip A. Bernstein; Viktor Leis; Carsten Binnig

    Is Scalable OLTP in the Cloud a Solved Problem?

    In: 13th Conference on Innovative Data Systems Research, CIDR 2023. Conference on Innovative Data Systems Research (CIDR-2023), January 8-11, Amsterdam, Netherlands, www.cidrdb.org, 2023.

  6. Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

    Neural Networks for Relational Data

    In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2019), September 3-5, Plovdiv, Bulgaria, Pages 62-71, Lecture Notes in Computer Science (LNAI), Vol. 11770, Springer, 2019.

  7. Karl Stelzner; Robert Peharz; Kristian Kersting

    Faster Attend-Infer-Repeat with Tractable Probabilistic Models

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 5966-5975, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  8. Lukas Weber; Lukas Sommer; Julian Oppermann; Alejandro Molina; Kristian Kersting; Andreas Koch

    Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs

    In: International Conference on Field-Programmable Technology. International Conference on Field Programmable Technology (FPT-2019), December 9-13, Tianjin, China, Pages 251-254, IEEE, 2019.

  9. Sophie F. Jentzsch; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting

    Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices

    In: Vincent Conitzer; Gillian K. Hadfield; Shannon Vallor (Hrsg.). Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. AAAI Conference on Artificial Intelligence (AAAI-2019), January 27-28, Honolulu, HI, USA, Pages 37-44, ACM, 2019.

  10. Mayukh Das; Devendra Singh Dhami; Gautam Kunapuli; Kristian Kersting; Sriraam Natarajan

    Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

    In: The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2019), Pages 7816-7824, AAAI Press, 2019.