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Publications

Displaying results 1811 to 1820 of 13882.

  1. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Making deep neural networks right for the right scientific reasons by interacting with their explanations

    In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

  2. Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

    The Moral Choice Machine

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

  3. Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz

    Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

  4. Zhongjie Yu; Mingye Zhu; Martin Trapp; Arseny Skryagin; Kristian Kersting

    Leveraging probabilistic circuits for nonparametric multi-output regression

    In: Cassio P. de Campos; Marloes H. Maathuis; Erik Quaeghebeur (Hrsg.). Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2021), July 27-30, Pages 2008-2018, Proceedings of Machine Learning Research, Vol. 161, AUAI Press, 2021.

  5. Matej Zecevic; Devendra Singh Dhami; Athresh Karanam; Sriraam Natarajan; Kristian Kersting

    Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models

    In: Marc'Aurelio Ranzato; Alina Beygelzimer; Yann N. Dauphin; Percy Liang; Jennifer Wortman Vaughan (Hrsg.). Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021. Neural Information Processing Systems (NeurIPS-2021), December 6-14, Pages 15019-15031, Curran Associates, Inc. 2021.

  6. Fabrizio Ventola; Devendra Singh Dhami; Kristian Kersting

    Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits

    In: Nikos Katzouris; Alexander Artikis (Hrsg.). Inductive Logic Programming - 30th International Conference, ILP 2021, Proceedings. International Conference on Inductive Logic Programming (ILP-2021), October 25-27, Virtual Event, Pages 251-265, Lecture Notes in Computer Science (LNAI), Vol. 13191, Springer, 2021.

  7. David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo; Kristian Kersting

    Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention

    In: Ceren Budak; Meeyoung Cha; Daniele Quercia; Lexing Xie (Hrsg.). Proceedings of the Fifteenth International AAAI Conference on Web and Social Media. AAAI Conference on Artificial Intelligence (AAAI-2021), June 7-10, Pages 691-702, AAAI Press, 2021.

  8. Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    Whittle Networks: A Deep Likelihood Model for Time Series

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2021), July 18-24, Pages 12177-12186, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

  9. Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations

    In: IEEE Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June 19-25, Pages 3619-3629, Computer Vision Foundation / IEEE, 2021.

  10. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    The Causal Loss: Driving Correlation to Imply Causation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12066, Pages 0-10, arXiv, 2021.

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