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Year: 2022
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Displaying results 21 to 30 of 807.

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

    Attributions Beyond Neural Networks: The Linear Program Case

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07203, Pages 0-10, arXiv, 2022.

  2. Salahedine Youssef; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Towards a Solution to Bongard Problems: A Causal Approach

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07196, Pages 0-10, arXiv, 2022.

  3. Jonas Seng; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07195, Pages 0-10, arXiv, 2022.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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