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Publications

Displaying results 1501 to 1510 of 14847.

  1. Antonia Wüst; Wolfgang Stammer; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting

    Pix2Code: Learning to Compose Neural Visual Concepts as Programs

    In: Negar Kiyavash; Joris M. Mooij (Hrsg.). Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain. Conference in Uncertainty in Artificial Intelligence (UAI), Pages 3829-3852, Proceedings of Machine Learning Research, Vol. 244, PMLR, 2024.

  2. Christopher E. Mower; Yuhui Wan; Hongzhan Yu; Antoine Grosnit; Jonas Gonzalez-Billandon; Matthieu Zimmer; Jinlong Wang; Xinyu Zhang; Yao Zhao; Anbang Zhai; Puze Liu; Davide Tateo; Cesar Cadena; Marco Hutter; Jan Peters; Guangjian Tian; Yuzheng Zhuang; Kun Shao; Xingyue Quan; Jianye Hao; Jun Wang; Haitham Bou-Ammar

    ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.19741, Pages 1-26, arXiv, 2024.

  3. Luca Lach; Robert Haschke; Davide Tateo; Jan Peters; Helge J. Ritter; Júlia Borràs Sol; Carme Torras

    Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 725-732, IEEE, 2024.

  4. Duy Minh Ho Nguyen; An Thai Le; Trung Nguyen; Nghiem Tuong Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: Vu Nguyen; Hsuan-Tien Lin (Hrsg.). Asian Conference on Machine Learning, 5-8 December 2024, Hanoi, Vietnam. Asian Conference on Machine Learning (ACML), Pages 687-702, Proceedings of Machine Learning Research, Vol. 260, PMLR, 2024.

  5. Harsh Poonia; Moritz Willig; Zhongjie Yu; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    (chi)SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

    In: Negar Kiyavash; Joris M. Mooij (Hrsg.). Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain. Conference in Uncertainty in Artificial Intelligence (UAI), Pages 3004-3020, Proceedings of Machine Learning Research, Vol. 244, PMLR, 2024.

  6. Moritz Willig; Matej Zecevic; Kristian Kersting

    "Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper)

    In: Philipp Cimiano; Anette Frank; Michael Kohlhase; Benno Stein (Hrsg.). Robust Argumentation Machines - First International Conference, RATIO 2024, Bielefeld, Germany, June 5-7, 2024, Proceedings. International Conference on Recent Advances in Robust Argumentation Machines (RATIO), Pages 266-275, Lecture Notes in Computer Science, Vol. 14638, Springer, 2024.

  7. Florian Peter Busch; Moritz Willig; Jonas Seng; Kristian Kersting; Devendra Singh Dhami

    (Psi)net: Efficient Causal Modeling at Scale

    In: Johan Kwisthout; Silja Renooij (Hrsg.). International Conference on Probabilistic Graphical Models, De Lindenberg, Nijmegen, the Netherlands, 11-13 September 2024. International Conference on Probabilistic Graphical Models (PGM), Pages 452-469, Proceedings of Machine Learning Research, Vol. 246, PMLR, 2024.

  8. Sarah Stockreiser

    Digitale Lernumgebungen vs. Traditionelle Präsenskurse - Eine Untersuchung zur Unterstützung und Optimierung individueller Studienbedürfnisse

    Mastersthesis, Universität Trier, 2025.

  9. Julian Marx

    GPT-Modelle in Scrum: Potentiale zur Steigerung von Effizienz und Qualität

    Mastersthesis, Universität Trier, 2025.

  10. Dennis Maecker; Henning Gösling; Timon Sachweh

    Setting up a ROS2-based Multi-Agent System implementing the Contract Net Protocol and IDS Connectors

    In: EMAS 2024. International Workshop on Engineering Multi-Agent Systems (EMAS), located at AAMAS 2024, EMAS, 5/2024.

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