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Publications

Displaying results 1161 to 1170 of 14486.
  1. Anh-Tien Nguyen; Ho Minh Duy Nguyen; Nghiem Tuong Diep; Trung Nguyen; Daniel Sonntag; Nhat Ho; Jacqueline Michelle Metsch; Miriam Cindy Maurer; Hanibal Bohnenberger; Anne-Christin Hauschild

    MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification

    In: Transactions on Machine Learning Research (TMLR), Vol. Online, Pages 1-22, 2835-8856, 2025.

  2. PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit

    In: Proceedings of the Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2026), March 6-10, Tucson, AZ, USA, IEEE, 2/2026.

  3. Ho Minh Duy Nguyen; Nghiem T. Diep; Trung Nguyen; Hoang-Bao Le; Tai Nguyen; Tien Nguyen; TrungTin Nguyen; Nhat Ho; Pengtao Xie; Roger Wattenhofer; James Zou; Daniel Sonntag; Mathias Niepert

    ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models

    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.

  4. Julen Urain; Niklas Funk; Jan Peters; Georgia Chalvatzaki

    SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

    In: IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023. IEEE International Conference on Robotics and Automation (ICRA), Pages 5923-5930, IEEE, 2023.

  5. InEKFormer: A Hybrid State Estimator for Humanoid Robots

    In: Proceedings of IEEE International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2025), December 2-5, San Juan, Argentina, Pages 833-840, IEEE, 1/2026.

  6. Daniel Büttner; Dirk Schöttke; Stephan Schäfer; Sönke Knoch; Daniel Porta; Tim Schwartz; Claudette Ocando Röhricht; Aaron Zielstorff; Andreas Bayha

    Bridging the Qualification Gap for the Asset Administration Shell: A Modular and Role-Based Learning Framework

    In: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2025), September 9-12, Porto, Portugal, Pages 1-8, IEEE, 10/2025.

  7. Memristor-Based In-Memory Logic Design Styles for Neuromorphic and AI Computing

    In: Sébastien Ziegler; Renáta Radócz; Adrian Quesada Rodriguez; Sara Nieves Matheu Garcia. Springer Nature Handbook of Industrial Internet of Things. Springer, 2026.

  8. A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages

    In: Christos Christodoulopoulos; Tanmoy Chakraborty; Carolyn Rose; Violet Peng (Hrsg.). Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing (EMNLP-2025), November 4-10, Suzhou, China, Pages 8293-8314, ISBN 979-8-89176-332-6, Association for Computational Linguistics, 11/2025.

  9. Boris Brandherm; Mike Vogt; Marie-Louise Kloubert; Thorsten Carstens; Marcel Dumeier; Mirko Schuster; Andreas Winter; Philippe Steinbusch; Jens Neumann; Bastian Plaß; Hao Chang; Christian Haselbeck; Andreas Kurz; Andreas Kubis; Hubert Feyrer; Kevin Goldermann; Andrea Schröder

    Künstliche Intelligenz (KI) - KI in Netzplanung und Netzbetrieb

    In: ew - Magazin für die Energiewirtschaft (ew), Vol. 10, Pages 27-31, VDE Verlag GmbH, Offenbach, 10/2025.

  10. Sara Narteni; Alberto Carlevaro; Zeming Duan; Serge Autexier; Maurizio Mongelli

    Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation

    In: Khuong An Nguyen; Zhiyuan Luo; Harris Papadopoulos; Tuwe Löfström; Lars Carlsson; Henrik Boström (Hrsg.). Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications. Symposium in Conformal and Probabilistic Prediction with Applications (COPA-2025), September 10-12, London, United Kingdom, Pages 778-780, Proceedings of Machine Learning Research (PMLR), Vol. 266, PMLR, 9/2025.