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Publikationen

Zeige Ergebnisse 951 bis 960 von 14474.

  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. Tobias Stollenwerk; Somtapa Bhattacharya; Michele Cattelan; Alessandro Ciani; Gabriele Compostella; David Headley; Johannes Klepsch; Matthias Klusch; Markus Leder; Antonio Macaluso; Kristel Michielsen; Dmytro Nabok; Anestis Papanikolaou; Alexander Rausch; Marco Schumann; Andrea Skolik; Sheir Yarkoni; Frank K. Wilhelm

    Q(AI)2: Quantum Artificial Intelligence for the Automotive Industry

    In: Matthias Klusch; Jörg Lässig; Frank Wilhelm (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 4/24, Pages 1-9, Springer, 2024.

  10. Philippe Weier; Alexander Rath; Élie Michel; Iliyan Georgiev; Philipp Slusallek; Tamy Boubekeur

    N-BVH: Neural ray queries with bounding volume hierarchies

    In: Andres Burbano; Denis Zorin; Wojciech Jarosz (Hrsg.). Proceedings - SIGGRAPH 2024 Conference Papers. ACM Siggraph (Siggraph-24), July 27 - August 1, Denver, CO, USA, Pages 1-11, Vol. 25, ISBN 979-8-4007-0525-0, Association for Computing Machinery, New York, NY, USA, 7/2024.

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