Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 971 bis 980 von 14429.

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

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

    2024.

  2. 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.

  3. 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.

  4. Brian Moser; Arundhati Shanbhag; Federico Raue; Stanislav Frolov; Sebastian Palacio; Andreas Dengel

    Diffusion Models, Image Super-Resolution, and Everything: A Survey

    In: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 0, Pages 1-21, IEEE, 2024.

  5. F. Herrmann; S.B. Zach; J. Banfi; Jan Peters; G. Chalvatzaki; D. Tateo

    Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, Pages 9327-9334, IEEE, 2024.

  6. S. Gu; Puze Liu; A. Kshirsagar; G. Chen; Jan Peters; A. Knoll

    ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds

    In: IEEE Transactions on Automation Science and Engineering, Vol. /, Pages 1-11, IEEE, 2024.

  7. L. Lin; A. Boehm; B. Belousov; A. Kshirsagar; T. Schneider; Jan Peters; K. Doerschner; K. Drewing

    Task-Adapted Single-Finger Explorations of Complex Objects

    In: 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, Proceedings, Part I. International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (EuroHaptics-2024), June 30 - July 3, Lille, France, Pages 133-146, Lecture Notes in Computer Science (LNCS), Vol. 14768, Springer, Cham, 2024.

  8. P. Holzmann; M. Maik Pfefferkorn; Jan Peters; R. Findeisen

    Learning Energy-Efficient Trajectory Planning for Robotic Manipulators using Bayesian Optimization

    In: Proceedings of the European Control Conference (ECC). European Control Conference (ECC-2024), Institute of Electrical and Electronics Engineers (IEEE), 2024.

  9. Y. Weng; S. Chun; M. Ohashi; T. Matsuda; Y. Sekimoria; J. Pajarinen; Jan Peters; T. Maki

    Autonomous Underwater Vehicle Link Alignment Control in Unknown Environments Using Reinforcement Learning

    In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, John Wiley & Sons Inc. 2024.

  10. V. Prasad; A Kshirsagar; D. Koert; R. Stock-Homburg; Jan Peters; G. Chalvatzaki

    MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 7, Pages 6043-6050, IEEE, 2024.

Jahr

Mehr Optionen