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Publikationen

Zeige Ergebnisse 1441 bis 1450 von 15095.

  1. F. Hahne; Prasad V.; Kshirsagar A.; Koert D.; Stock-Homburg R. M.; Jan Peters; Chalvatzaki G.

    Transition State Clustering for Interaction Segmentation and Learning

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion). ACM/IEEE International Conference on Human-Robot Interaction (HRI-2024), Association for Computing Machinery, 2024.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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

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

    2024.

  8. 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.

  9. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Matthias Urban; Anupam Sanghi; Carsten Binnig

    LLMs for Data Engineering on Enterprise Data

    In: Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, VLDB 2024. International Workshop on Tabular Data Analysis (TaDA), VLDB.org, 2024.

  10. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

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