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Publikationen

Zeige Ergebnisse 1151 bis 1160 von 14766.

  1. C. Derstroff; J. Brugger; M. Cerrato; Jan Peters; S. Kramer

    Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

    In: The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24). AAAI Conference on Artificial Intelligence (AAAI-2024), AAAI Press, Washington, DC, USA, 2024.

  2. G. Tiboni; P. Klink; Jan Peters; T. Tommasi; C. D'Eramo; G. Chalvatzaki

    Domain Randomization via Entropy Maximization

    In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 12TH 2024. International Conference on Learning Representations (ICLR-2024), International Conference on Learning Representations (ICLR), 2024.

  3. N. Funk; E. Helmut; G. Chalvatzaki; R. Calandra; Jan Peters

    Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation

    In: IEEE Transactions on Robotics (T-RO), Vol. 40, Pages 3812-3832, Institute of Electrical and Electronics Engineers (IEEE), 2024.

  4. Mario Gleirscher; Rehab Massoud; Dieter Hutter; Christoph Lüth

    How Deduction Systems Can Help You To Verify Stability Properties

    In: Conference on Decision and Control. IEEE Conference on Decision and Control (CDC-2024), December 16-19, Milano, Italy, Vol. abs/2404.10747, IEEE, 2024.

  5. Katharina Justmann; Ludwig Leurs; Martin Ruskowski

    Mapping of OPC UA FX to the Asset Administration Shell and Capability, Skill and Service Model

    In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), Pages 1-4, IEEE, 2024.

  6. Tatjana Legler; Vinit Vikas Hegiste; Ahmed Anwar; Martin Ruskowski

    Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment

    2024.

  7. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  8. S.M. Venkatesh; A. Macaluso; M. Nuske; M. Klusch; A. Dengel

    Q-Seg: Quantum Annealing-based Unsupervised Image Segmentation

    In: . (Hrsg.). IEEE Computer Graphics and Applications (CG&A), Pages .-. IEEE, 2024.

  9. Sabine Janzen; Hannah Stein

    Beyond One-Fits-All: A Case Study Approach to AI System Design Methods

    In: Proceedings of International Workshop on AI Services and Applications (AISA’2024) at 43th International Conference on Conceptual Modeling (ER). International Conference on Conceptual Modeling (ER-2024), October 28-31, Pittsburgh, USA, 10/2024.

  10. Sabine Janzen; Hannah Stein; Sebastian Baer

    GRASPER: Leveraging Knowledge Graphs for Predictive Supply Chain Analytics

    In: Proceedings of International Workshop on AI Services and Applications (AISA’2024) at 43th International Conference on Conceptual Modeling (ER). International Conference on Conceptual Modeling (ER-2024), October 28-31, Pittsburgh, USA, 10/2024.

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