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Publications

Displaying results 21 to 30 of 50.
  1. Lorik Dumani; Manuel Biertz; Alex Witry; Anna-Katharina Ludwig; Mirko Lenz; Stefan Ollinger; Ralph Bergmann; Ralf Schenkel

    The ReCAP Corpus: A Corpus of Complex Argument Graphs on German Education Politics

    In: IEEE Proceedings of the 15th International Conference on Semantic Computing (ICSC). IEEE International Conference on Semantic Computing (ICSC-2021), Laguna Hills, CA, USA, Pages 248-255, IEEE, 2021.

  2. Christian Alrabbaa; Stefan Borgwardt; Nina Knieriemen; Alisa Kovtunova; Anna Milena Rothermel; Frederik Wiehr

    In the Hand of the Beholder: Comparing Interactive Proof Visualizations

    In: Martin Homola; Vladislav Ryzhikov; Renate A. Schmidt (Hrsg.). Proceedings of the 34th International Workshop on Description Logics (DL 2021) part of Bratislava Knowledge September (BAKS 2021), Bratislava, Slovakia, September 19th to 22nd, 2021. International Workshop on Description Logics (DL-2021), CEUR Workshop Proceedings, Vol. 2954, CEUR-WS.org, 2021.

  3. 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.

  4. 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.

  5. 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.

  6. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    On the Tractability of Neural Causal Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12052, Pages 0-10, arXiv, 2021.

  7. Xiaoting Shao; Arseny Skryagin; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions

    In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Conference on Artificial Intelligence (AAAI-2021), Pages 9533-9540, AAAI Press, 2021.

  8. 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.

  9. 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.

  10. 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.