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Publications

Displaying results 611 to 620 of 15033.

  1. 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: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4881-4901, arXiv, 2025.

  2. Vignesh Prasad; Lea Heitlinger; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

    Learning Multimodal Latent Dynamics for Human-Robot Interaction

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4418-4438, arXiv, 2025.

  3. Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters; Martin W. Hoffmann

    Machine Learning with Physics Knowledge for Prediction: A Survey

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-61, arXiv, 2025.

  4. Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters; Carlo D'Eramo

    Iterated emphQ-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, arXiv, 2025.

  5. 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: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-31, arXiv, 2025.

  6. An Thai Le; Khai Nguyen; Minh Nhat Vu; Joao Carvalho; Jan Peters

    Model Tensor Planning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-24, arXiv, 2025.

  7. Simon Kohaut; Nikolas Hohmann; Sebastian Brulin; Benedict Flade; Julian Eggert; Markus Olhofer; Jürgen Adamy; Devendra Singh Dhami; Kristian Kersting

    Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.18514, Pages 1-24, arXiv, 2024.

  8. Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig

    Pythagoras: Semantic Type Detection of Numerical Data Using Graph Neural Networks

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA), Pages 146-152, CEUR Workshop Proceedings, Vol. 3630, CEUR-WS.org, 2023.

  9. Meghdad Mirabi; René Klaus Nikiel; Carsten Binnig

    SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training

    In: Jihe Wang; Yi He; Thang N. Dinh; Christan Grant; Meikang Qiu; Witold Pedrycz (Hrsg.). 23rd IEEE International Conference on Data Mining Workshops - ICDMW 2023. International Workshop on Trustworthy Knowledge Discovery and Data Mining (TrustKDD-2023), December 1, Shanghai, China, Pages 207-216, IEEE, 2023.

  10. Alberto Lerner; Carsten Binnig; Philippe Cudré-Mauroux; Rana Hussein; Matthias Jasny; Theo Jepsen; Dan R. K. Ports; Lasse Thostrup; Tobias Ziegler

    Databases on Modern Networks: A Decade of Research that now comes into Practice

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 16, No. 12, Pages 3894-3897, VLDP, 2023.

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