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Publikationen

Zeige Ergebnisse 651 bis 660 von 14483.

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

    Fast and Robust Visuomotor Riemannian Flow Matching Policy

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 5327-5343, arXiv, 2025.

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

  3. 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.

  4. Nayari Lessa; Melya Boukheddimi; Frank Kirchner

    Adversarial Priors Unleashed with Soft Actor Critic

    In: Women in Machine Learning Workshop (WiML 2025) at NeurIPS. Neural Information Processing Systems (NeurIPS-2025), 20th Women in Machine Learning Workshop (WiML 2025), December 2-7, San Diego, USA, USA, n.n. 12/2025.

  5. Jonas Seng; Fabrizio Ventola; Zhongjie Yu; Kristian Kersting

    Hyperparameter Optimization via Interacting with Probabilistic Circuits

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.17804, Pages 1-39, Computing Research Repository, 2025.

  6. Nick Kocher; Christian Wassermann; Leona Hennig; Jonas Seng; Holger H. Hoos; Kristian Kersting; Marius Lindauer; Matthias S. Müller

    Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.15631, Pages 1-10, Computing Research Repository, 2025.

  7. 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.

  8. 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.

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

  10. Christian Backe

    Transforming a Data Monolith into a Network of FAIR Digital Objects

    Conference presentation (FAIR in Action 2025), Zenodo, 10/2025.

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