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Publikationen

Zeige Ergebnisse 1431 bis 1440 von 14915.

  1. Quentin Delfosse; Sebastian Sztwiertnia; Mark Rothermel; Wolfgang Stammer; Kristian Kersting

    Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. International Conference on Neural Information Processing (ICONIP), arXiv, 2024.

  2. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    On the Benefit of Optimal Transport for Curriculum Reinforcement Learning

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 46, No. 11, Pages 7191-7204, IEEE Computer Society, 2024.

  3. Yang Weng; Sehwa Chun; Masaki Ohashi; Takumi Matsuda; Yuki Sekimori; Joni Pajarinen; Jan Peters; Toshihiro Maki

    Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning

    In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, Wiley Online Library, 2024.

  4. Wei Jiang; Hans Dieter Schotten

    Hierarchical Cell-Free Massive MIMO for High Capacity with Simple Implementation

    In: 2024 IEEE International Conference on Communications. IEEE International Conference on Communications (ICC-2024), June 9-13, Denver, USA, IEEE, 6/2024.

  5. Simon Häring; Sophie Folawiyo; Mariia Podguzova; Stephan Krauß; Didier Stricker

    Vid2Cuts: A Framework for Enabling AI-Guided Grapevine Pruning

    In: IEEE Access (IEEE), Vol. 12, Pages 5814-5836, IEEE, 1/2024.

  6. Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller

    Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

    In: International Journal of Data Science and Analytics, Vol. 18, No. 2, Pages 157-174, Springer, 2024.

  7. Mark Niemeyer; Marian Renz; Maren Pukrop; David Hagemann; Tim Zurheide; Daniel Di Marco; Markus Höferlin; Philipp Stark; Florian Rahe; Matthias Igelbrink; Mario Jenz; Thomas Jarmer; Dieter Trautz; Stefan Stiene; Joachim Hertzberg

    Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 37, Pages 175-181, Springer, 1/2024.

  8. Malte Luttermann; Mattis Hartwig; Tanya Braun; Ralf Möller; Marcel Gehrke

    Lifted Causal Inference in Relational Domains

    In: Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24). Conference on Causal Learning and Reasoning (CLeaR-2024), April 1-3, Los Angeles, CA, USA, Pages 827-842, Vol. 236, PMLR, 5/2024.

  9. Sogo Pierre Sanon; Rekha Reddy; Christoph Lipps (Hrsg.)

    DDoS Attacks in Communication: Analysis and Mitigation of Unreliable Clients in Federated Learning

    IEEE Consumer Communications and Networking Conference (CCNC-2024), January 6-9, NV, USA, IEEE, 2/2024.

  10. Chun-Peng Chang; Shaoxiang Wang; Alain Pagani; Didier Stricker

    MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding

    In: Proceedings of. International Conference on Computer Vision and Pattern Recognition (CVPR-2024), June 17-21, Seattle, WA, USA, IEEE/CVF, 2024.

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