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Publikationen

Zeige Ergebnisse 621 bis 630 von 14376.

  1. Tanja Bäumel (Hrsg.)

    The Lookahead Limitation: Why Multi-Operand Addition is Hard for LLMs

    Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP-2025), located at EMNLP-2025, NA, 2025.

  2. Alonso Palomino Garibay; David Buschhüter; Roland Roller; Niels Pinkwart; Benjamin Paaßen

    EdTec-ItemGen: Enhancing Retrieval-Augmented Item Generation Through Key Point Extraction

    In: Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM). Workshop on Towards Knowledgeable Foundation Models (KnowFM), August 1, Vienna, Austria, Pages 14-25, Association for Computational Linguistics, 2025.

  3. Dyuman Aditya; Junning Huang; Nico Bohlinger; Piotr Kicki; Krzysztof Walas; Jan Peters; Matteo Luperto; Davide Tateo

    Robust Localization, Mapping, and Navigation for Quadruped Robots

    In: Antonios Gasteratos; Nicola Bellotto; Stefano Tortora (Hrsg.). European Conference on Mobile Robots, ECMR 2025, Padova, Italy, September 2-5, 2025. European Conference on Mobile Robots (ECMR), Pages 1-8, IEEE, 2025.

  4. 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.

  5. 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.

  6. 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.

  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. 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.

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