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Publikationen

Zeige Ergebnisse 711 bis 720 von 14932.

  1. Phuc Minh Nguyen; Ngoc-Hieu Nguyen; Ho Minh Duy Nguyen; Anji Liu; An Mai; Binh T. Nguyen; Daniel Sonntag; Khoa D. Doan

    Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling

    In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS). Neural Information Processing Systems (NeurIPS-2025), December 2-12, USA, Advances in Neural Information Processing Systems, 2025.

  2. Tuan Tran; Ho Minh Duy Nguyen; Hoai-Chau Tran; Michael Barz; Khoa D. Doan; Roger Wattenhofer; Ngo Anh Vien; Mathias Niepert; Daniel Sonntag; Paul Swoboda

    How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?

    In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS). Neural Information Processing Systems (NeurIPS-2025), December 2-12, USA, Advances in Neural Information Processing Systems, 12/2025.

  3. Md Abdul Kadir; Sai Suresh Macharla Vasu; Sidharth S. Nair; Daniel Sonntag

    AuditCopilot: Leveraging LLMs for Fraud Detection in Double-Entry Bookkeeping

    In: Proceedings of the NeurIPS 2025 Workshop on Generative AI in Finance. Workshop on Generative AI in Finance, located at NeurIPS-2025, December 6, San Diego, CA, USA, 2025.

  4. Marco Simon; Chris Urban; Michael Winter; Aljosha Köcher

    Realization of a Shared Manufacturing Network using Capabilities, Skills and Services

    In: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2025), Pages 1-8, IEEE, 2025.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Nayari Lessa; Melya Boukheddimi; Frank Kirchner

    Unlocking the Potential of Soft Actor-Critic for Imitation Learning

    In: ArXiv e-prints (arxiv), Vol. 8, Pages 1-8, n.n. 10/2025.

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

    Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 10, No. 3, Pages 2454-2461, IEEE, 2025.

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