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Publikationen

Zeige Ergebnisse 831 bis 840 von 15223.

  1. 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.

  2. 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.

  3. Alexander Schultheis; Yannis Bertrand; Joscha Grüger; Lukas Malburg; Ralph Bergmann; Estefanía Serral Asensio

    Case-based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues

    In: Amiya Nayak (Hrsg.). IoT, Vol. 6, No. 4, MDPI, 10/2025.

  4. Sabine Janzen; Kanav Avasthi; Behkam Fallah; Hannah Stein; Wolfgang Maaß

    Risk‑Optimized Mobility through Graph‑Based Prediction

    In: Proceedings of International Conference on Conceptual Modeling. International Conference on Conceptual Modeling (ER-2025), 10/2025.

  5. Lukas Malburg

    Adaptive Workflow Management for Cyber-Physical Systems - A Hybrid Approach Combining Experience-Based Learning and Automated Planning for Industry 4.0

    PhD-Thesis, Universität Trier, 2025.

  6. Mark Lunt; David Antony Selby; William Dixon

    Describing variability of intensively collected longitudinal ordinal data with latent spline models

    In: Scientific Reports (Sci Rep), Vol. 15, Pages 34151-34151, Springer Nature, 10/2025.

  7. Brian Moser; Federico Raue; Sebastian Palacio; Stanislav Frolov; Andreas Dengel

    Unlocking Dataset Distillation with Diffusion Models

    In: NeurIPS. Neural Information Processing Systems (NeurIPS-2025), December 2-7, San Diego, USA, NeurIPS, 2025.

  8. Brian Moser; Arundhati Shanbhag; Stanislav Frolov; Federico Raue; Joachim Folz; Andreas Dengel

    A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

    In: ArXiv e-prints (arxiv), Vol. arxiv, Pages 0-0, arxiv, 2025.

  9. Pixi Kang; Julian Moosmann; Mengxi Liu; Bo Zhou; Michele Magno; Paul Lukowicz; Sizhen Bian

    Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning

    In: MobileHCI '25: Proceedings of the 27th International Conference on Mobile Human-Computer Interaction. ACM International Conference on Mobile Human-Computer Interaction (MobileHCI-2025), ACM, 9/2025.

  10. Luis Octavio Arriaga Camargo; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters; Frank Kirchner

    Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    In: Leilani Gilpin; Eleonora Giunchiglia; Pascal Hitzler; Emile van Krieken (Hrsg.). Neurosymbolic Artificial Intelligence, Pages 1-19, IOS Press, 2025.

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