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Publications

Displaying results 1881 to 1890 of 14744.

  1. 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.

  2. 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.

  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. 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.

  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. 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 1-10, Frontiers, 2021.

  9. Adrian Danzglock; Vamsi Krishna Origanti; Frank Kirchner

    MujocoROS2Control: Seamless MuJoCo Integration with ROS 2 for Robot Simulation and Control

    In: Daniel S. Katz (Hrsg.). Journal of Open Source Software (JOSS), Vol. 10, No. 116, Pages *-*, Journal of Open Source Software, Online, 12/2025.

  10. Hassan Soliman; Hitesh Kotte; Milos Kravcik; Norbert Pengel; Nghia Duong-Trung

    Retrieval-Augmented Chatbots for Scalable Educational Support in Higher Education

    In: Lixiang Yan; Andy Nguyen; Ryan Baker; Mutlu Cukurova; Dragan Gasevic; Kaixun Yang; Yueqiao Jin; Linxuan Zhao; Yuheng Li (Hrsg.). Proceedings of the Second International Workshop on Generative AI for Learning Analytics co-located with the 15th International Conference on Learning Analytics and Knowledge (LAK 2025). International Workshop on Generative AI for Learning Analytics (GenAI-LA-2025), March 3, Dublin, Ireland, Pages 22-31, CEUR Workshop Proceedings (CEUR), Vol. 3994, CEUR-WS.org, 7/2025.

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