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Publikationen

Zeige Ergebnisse 1441 bis 1450 von 11291.

  1. Joscha Grüger

    Process Mining for Healthcare: Discover Beyond Discovery

    PhD-Thesis, Universität Trier, 2024.

  2. Julie Gandrup; David Antony Selby; William Dixon

    Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

    In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

  3. David Antony Selby; Kai Spriestersbach; Yuichiro Iwashita; Dennis Bappert; Archana Warrier; Sumantrak Mukherjee; Muhammad Nabeel Asim; Koichi Kise; Sebastian Vollmer

    Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models

    In: NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty. Neural Information Processing Systems (NeurIPS-2024), Workshop on Bayesian Decision-making and Uncertainty, located at NeuIPS-2024, December 14, Vancouver, BC, Canada, NeurIps Foundation, 2024.

  4. Zhifei Li; Gerrit Großmann; Verena Wolf

    Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol. International Conference on Complex Networks and Their Applications. Pages 183-194, Springer Nature Switzerland, 2024.

  5. Tobias Christian Nauen; Sebastian Palacio; Andreas Dengel

    TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition. International Conference on Pattern Recognition (ICPR-2024), December 1-5, Kolkata, India, India, Pages 1-16, ISBN 978-3-031-78172-8, Springer Nature Switzerland, Switzerland, 12/2024.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Junning Huang; Davide Tateo; Puze Liu; Jan Peters

    Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.05054, Pages 1-8, arXiv, 2024.

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