Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1091 bis 1100 von 14764.

  1. Daniel Palenicek; Michael Lutter; Jo~ao Carvalho; Daniel Dennert; Faran Ahmad; Jan Peters

    Diminishing Return of Value Expansion Methods

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.20537, Pages 1-21, arXiv, 2024.

  2. Jo~ao Carvalho; An T. Le; Piotr Kicki; Dorothea Koert; Jan Peters

    Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.19948, Pages 1-21, arXiv, 2024.

  3. Haoran Ding; Noémie Jaquier; Jan Peters; Leonel Rozo

    Fast and Robust Visuomotor Riemannian Flow Matching Policy

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.10855, Pages 1-17, arXiv, 2024.

  4. Wolfgang Stammer; Antonia Wüst; David Steinmann; Kristian Kersting

    Neural Concept Binder

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.09949, Pages 1-39, arXiv, 2024.

  5. Jingyuan Sha; Hikaru Shindo; Quentin Delfosse; Kristian Kersting; Devendra Singh Dhami

    EXPIL: Explanatory Predicate Invention for Learning in Games

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.06107, Pages 1-11, arXiv, 2024.

  6. Lukas Helff; Felix Friedrich; Manuel Brack; Kristian Kersting; Patrick Schramowski

    LLavaGuard: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.05113, Pages 1-24, arXiv, 2024.

  7. Jan Ehrhardt; Heinz Handels

    Implicitly Solved Regularization for Learning-Based Image Registration

    In: Xiaohuan Cao; Xuanang Xu; Islem Rekik; Zhiming Cui; Xi Ouyang (Hrsg.). Machine Learning in Medical Imaging. International Workshop on Machine Learning in Medical Imaging (MLMI-2023), located at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), October 8, Vancouver, Canada, Pages 137-146, Lecture Notes in Computer Science (LNCS), Vol. 14348, ISBN 978-3-031-45673-2, Springer Nature Switzerland, 2024.

  8. Joao Carvalho; An T. Le; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters

    Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.08398, Pages 1-8, arXiv, 2024.

  9. Christian Möller; Niklas Funk; Jan Peters

    Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.00835, Pages 1-13, arXiv, 2024.

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

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.16824, Pages 1-31, arXiv, 2024.

Jahr

Mehr Optionen