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Publications

Displaying results 2021 to 2030 of 6353.

  1. F. Al-Hafez; G. Zhao; Jan Peters; D. Tateo

    Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

    In: 17th European Workshop on Reinforcement Learning (EWRL 2024). European Workshop on Reinforcement Learning (EWRL-2024), EWRL, 2024.

  2. N. Funk; J. Urain; J. Carvalho; V. Prasad; G. Chalvatzaki; Jan Peters

    ActionFlow: Efficient, Accurate, and Fast Policies with Spatially Symmetric Flow Matching

    In: R:SS workshop: Structural Priors as Inductive Biases for Learning Robot Dynamics. Robotics: Science and Systems (RSS-2024), R:SS, 2024.

  3. N. Bohlinger; D. Tateo; P. Kicki; K. Walas; Jan Peters

    Benefits of an Actuated Spine in Agile Quadruped Locomotion

    In: ICRA 2024 Workshop on Bio-inspired Robotics and Robotics for Biology. IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2024.

  4. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: Towards an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: RSS 2024 Workshop on Embodiment-Aware Robot Learning. Robotics: Science and Systems (RSS-2024), RSS, 2024.

  5. Duway Nicolas Lesmes Leon; Miro Miranda Lorenz; Maria Caroprese; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks

    In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2025), 17th, located at ICAART-2025, February 23-25, Porto, Portugal, Pages 592-599, Vol. 3, ISBN 978-989-758-737-5, SciTePress, 2025.

  6. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  7. Patrick Klein; Lukas Malburg; Ralph Bergmann

    Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

    In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

  8. Sallar Ahmadi-Pour; Sangeet Saha; Klaus McDonald-Maier; Rolf Drechsler

    MESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time SystemsMESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time Systems

    In: ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM, 2025.

  9. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  10. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

    Surprise Benchmarking: The Why, What, and How

    In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

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