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Publications

Displaying results 1031 to 1040 of 14521.

  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. Donglin Wang; Anjie Qiu; Qiuheng Zhou; Hans Dieter Schotten

    A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

    In: Proceedings of the 11th IEEE World Forum on Internet of Things (IoT). IEEE World Forum on Internet of Things (IEEE WFIoT-2025), October 27-30, Chengdu, China, IEEE, 2025.

  7. Ingo Friese; Jochen Klaffer; Mandy Galkow-Schneider; Sergiy Melnyk; Qiuheng Zhou; Hans Dieter Schotten (Hrsg.)

    Over-the-Top Resource Broker System for Split Computing

    ITG-Fachtagung (ITG), 29th ITG-Fachtagung, May 20-21, Osnabrück, Germany, ISBN 978-3-8007-6530-0, VDE, 2025.

  8. Huy M. Le; Ba Dat Nguyen; Ngan T. T. Vo; Tuan D. Q. Nguyen; Nguyen Binh Le; Ho Minh Duy Nguyen; Daniel Sonntag; Lizi Liao; Binh T. Nguyen

    Reinforce Trustworthiness in Multimodal Emotional Support System

    In: The 40th Annual AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2026), January 20-27, Singapore, AAAI Press, 2026.

  9. Anh-Tien Nguyen; Ho Minh Duy Nguyen; Nghiem Tuong Diep; Trung Nguyen; Daniel Sonntag; Nhat Ho; Jacqueline Michelle Metsch; Miriam Cindy Maurer; Hanibal Bohnenberger; Anne-Christin Hauschild

    MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification

    In: Transactions on Machine Learning Research (TMLR), Vol. Online, Pages 1-22, 2835-8856, 2025.

  10. Muhammad Saif Ullah Khan; Didier Stricker

    PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit

    In: Proceedings of the Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2026), March 6-10, Tucson, AZ, USA, IEEE, 2/2026.

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