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Publications

Displaying results 1821 to 1830 of 14899.

  1. Zhongjie Yu; Fabrizio Ventola; Nils Thoma; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Predictive Whittle networks for time series

    In: James Cussens; Kun Zhang (Hrsg.). Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2022), August 1-5, Eindhoven, Netherlands, Pages 2320-2330, Proceedings of Machine Learning Research, Vol. 180, PMLR, 2022.

  2. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  3. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  4. Viktor Pfanschilling; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), August 31-5, Haifa, Israel, IJCAI Organization, 2022.

  5. Moritz Kulessa; Alejandro Molina; Carsten Binnig; Benjamin Hilprecht; Kristian Kersting

    Model-based Approximate Query Processing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1811.06224, Pages 0-10, arXiv, 2018.

  6. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Kristian Kersting; Zoubin Ghahramani

    Probabilistic Deep Learning using Random Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1806.01910, Pages 0-10, arXiv, 2018.

  7. Stefano Teso; Kristian Kersting

    "Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1805.08578, Pages 0-10, arXiv, 2018.

  8. Patrick Schramowski; Christian Bauckhage; Kristian Kersting

    Neural Conditional Gradients

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1803.04300, Pages 0-10, arXiv, 2018.

  9. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Systems AI: A Declarative Learning Based Programming Perspective

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5464-5471, ijcai.org, 2018.

  10. Stefan Lüdtke; Max Schröder; Sebastian Bader; Kristian Kersting; Thomas Kirste

    Lifted Filtering via Exchangeable Decomposition

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5067-5073, ijcai.org, 2018.

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