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Publikationen

Zeige Ergebnisse 1451 bis 1460 von 13845.

  1. Hoai-Chau Tran; Ho Minh Duy Nguyen; Manh-Duy Nguyen; Ngan Hoang Le; Binh T. Nguyen

    Energy Minimizing-based Token Merging for Accelerating Transformers

    In: International Conference on Learning Representations (ICLR), Practical ML for Low Resource Settings Workshop. International Conference on Learning Representations (ICLR), May 11-12, JMLR.org, 2024.

  2. Ho Minh Duy Nguyen; Nina Lukashina; Tai Nguyen; An T. Le; TrungTin Nguyen; Nhat Ho; Jan Peters; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert

    Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

    In: Proceedings of the 41st International Conference on Machine Learning. International Conference on Machine Learning (ICML), July 21-27, Austria, JMLR.org, 2024.

  3. Gregor Duwe; Verena Kauth; Kerstin Moench; Dominique Mercier; Markus Junker; Juergen Scheele; Werner Seiz; Oliver Pfante; Juan Pablo Vesga Simmins; Natasja De Bruin; Axel Haferkamp; Andreas Dengel; Thomas Höfner

    KITTU: Artificial intelligence supports multidisciplinary cancer conferences – first steps towards revolutionizing clinical decision making in oncology

    In: Reinhard Büttner (Hrsg.). Oncology Research and Treatment, Vol. 47, No. Supl. 1 - 36. Deutscher Krebskongress - Fortschritt gemeinsam gestalten, Pages 20-20, Karger Publishers, 2/2024.

  4. Chi Zhang; Janis Sprenger; Zhongjun Ni; Christian Berger

    Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability

    In: IEEE Transactions on Intelligent Vehicles (T-IV), Vol. 1, Pages 1-16, IEEE, 12/2024.

  5. Miro Miranda Lorenz; Marcela Charfuelan; Andreas Dengel

    Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

    In: Tackling Climate Change with Machine Learning (Hrsg.). NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning. Neural Information Processing Systems (NeurIPS-2024), NeurIPS 2024, located at NeurIPS, December 10-15, Vancouver, Britsh Columbia, Canada, DFKI Research Reports (RR), NeurIPS, 2024.

  6. Dennis Mronga; Frank Kirchner

    The ARC-OPT Library for Whole-Body Control of Robotic Systems

    In: Journal of Open Source Software (JOSS), Vol. 9, No. 104, Pages *-*, The Open Journal, 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. Katharina Bendig; René Schuster; Didier Stricker

    ShapeAug: Occlusion Augmentation for Event Camera Data

    In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.

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