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Publications

Displaying results 1181 to 1190 of 15056.

  1. Sriraam Natarajan; Jose Picado; Tushar Khot; Kristian Kersting; Christopher Ré; Jude W. Shavlik

    Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  2. Martin Mladenov; Kristian Kersting

    Lifted Inference via k-Locality

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  3. Xiaoting Shao; Kristian Kersting

    Gradient-based Counterfactual Explanations using Tractable Probabilistic Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2205.07774, Pages 0-10, arXiv, 2022.

  4. Matej Zecevic; Florian Peter Busch; Devendra Singh Dhami; Kristian Kersting

    Finding Structure and Causality in Linear Programs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.15274, Pages 0-10, arXiv, 2022.

  5. Katharina Hämmerl; Björn Deiseroth; Patrick Schramowski; Jindrich Libovický; Alexander Fraser; Kristian Kersting

    Do Multilingual Language Models Capture Differing Moral Norms?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.09904, Pages 0-10, arXiv, 2022.

  6. Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    A Typology to Explore and Guide Explanatory Interactive Machine Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.03668, Pages 0-10, arXiv, 2022.

  7. Xiaoting Shao; Karl Stelzner; Kristian Kersting

    Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.00391, Pages 0-10, arXiv, 2022.

  8. 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.

  9. 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.

  10. 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.

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