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Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Displaying results 21 to 30 of 77.
  1. David Steinmann; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Machines Explaining Linear Programs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07194, Pages 0-10, arXiv, 2022.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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 …

  8. 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 …

  9. 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 …

  10. Xuan Xie; Kristian Kersting; Daniel Neider

    Neuro-Symbolic Verification of Deep Neural Networks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on …