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Publications

Displaying results 1541 to 1550 of 15157.

  1. 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.

  2. 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.

  3. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  4. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  5. Viktor Pfanschilling; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), August 31-5, Haifa, Israel, IJCAI Organization, 2022.

  6. Xuan Xie; Kristian Kersting; Daniel Neider

    Neuro-Symbolic Verification of Deep Neural Networks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2022), July 23-29, Vienna, Austria, Pages 3622-3628, ijcai.org, 2022.

  7. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    To Trust or Not To Trust Prediction Scores for Membership Inference Attacks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2022), July 23-29, Vienna, Austria, Pages 3043-3049, ijcai.org, 2022.

  8. Teng Cao; Yu Deng; Hikaru Shindo; Quentin Delfosse; Lanxi Wen; Suli Wang; Jannis Blüml; Christopher Tauchmann; Kristian Kersting

    Kintsugi: Learning Policies by Repairing Executable Knowledge Bases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2605.09487, Pages 1-35, arXiv, 2026.

  9. Nikhilesh Prabhakar; Varun Balaji; Athresh Karanam; Kristian Kersting; Sriraam Natarajan

    Neurosymbolic Imitation Learning with Human Guidance: A Privileged Information Approach

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2605.07166, Pages 1-24, arXiv, 2026.

  10. Anish Abhijit Diwan; Davide Tateo; Christopher E. Mower; Haitham Bou-Ammar; Jan Peters; Oleg Arenz

    Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2605.11020, Pages 1-24, arXiv, 2026.

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