Skip to main content Skip to main navigation

Publikationen

Aktive Filter:

Jahr: 2023
Alle Filter entfernen
Zeige Ergebnisse 31 bis 40 von 754.

  1. Khurram Azeem Hashmi; Goutham Kallempudi; Didier Stricker; Muhammad Zeshan Afzal

    FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision

    In: International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE, 10/2023.

  2. Amr Gomaa; Michael Feld

    Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems

    In: AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML). AI&HCI Workshop @ ICML, located at icml, July 29, Honolulu, Hawaii, USA, PMLR, 2023.

  3. Théo Vincent; Boris Belousov; Carlo D'Eramo; Jan Peters (Hrsg.)

    Iterated Deep Q-Network: Efficient Learning of Bellman Iterations for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2023), European Workshop on Reinforcement Learning, 2023.

  4. Shangding Gu; Alap Kshirsagar; Yali Du; Guang Chen; Yaodong Yang; Jan Peters; Alois C. Knoll

    A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2302.13137, Pages 0-10, arXiv, 2023.

  5. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. abs/2301.04330, Pages 0-10, IEEE, 2023.

  6. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Model-Based Uncertainty in Value Functions

    In: Francisco J. R. Ruiz; Jennifer G. Dy; Jan-Willem van de Meent (Hrsg.). International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS), Pages 8029-8052, Proceedings of Machine Learning Research, Vol. 206, PMLR, 2023.

  7. Andreas Look; Barbara Rakitsch; Melih Kandemir; Jan Peters

    Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems

    In: Transactions on Machine Learning Research, Vol. 2023, Pages 0-10, JMLR, 2023.

  8. Dieter Büchler; Roberto Calandra; Jan Peters

    Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots

    In: Robotics and Autonomous Systems (RAS), Vol. 159, Pages 0-10, Elsevier, 2023.

  9. Nabeel Khalid; Tiago Comassetto Froes; Maria Caroprese; Gillian Lovell; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis

    In: ICANN 2023. International Conference on Artificial Neural Networks (ICANN-2023), 32nd International Conference on Artificial Neural Networks, located at ICANN 2023, September 26-29, Heraklion, Crete, Greece, Springer, 9/2023.

  10. Andreas Look; Melih Kandemir; Barbara Rakitsch; Jan Peters

    A Deterministic Approximation to Neural SDEs

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 45, No. 4, Pages 4023-4037, IEEE, 2023.

Jahr