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Year: 2021
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Displaying results 101 to 110 of 676.

  1. 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 …

  2. 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 …

  3. 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 …

  4. 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 …

  5. 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 …

  6. 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 …

  7. 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.

  8. 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.

  9. 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 …

  10. Sophie Burkhardt; Jannis Brugger; Nicolas Wagner; Zahra Ahmadi; Kristian Kersting; Stefan Kramer

    Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation

    In: Frontiers in Artificial Intelligence, Vol. 4, Pages 0-10, Frontiers, 2021.

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