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Publications

Displaying results 221 to 230 of 14584.

  1. Ho Minh Duy Nguyen; An T. Le; Trung Q. Nguyen; Nghiem T. Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: The 16th Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2024), December 5-8, Proceedings of Machine Learning Research, 2025.

  2. Hoai-Chau Tran; Ho Minh Duy Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Zou; Binh T. Nguyen; Mathias Niepert

    Accelerating Transformers with Spectrum-Preserving Token Merging

    In: The Thirty-Eighth Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), December 10-15, Canada, JMLR.org, 2024.

  3. 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.

  4. 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.

  5. Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller

    Graph Signal Processing (GSP) Unearths the Best Locations for Soil Moisture Sensors

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-6, IEEE, 2024.

  6. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    PINNtegrate: PINN-based Integral-Learning for Variational and Interface Problems

    In: Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications". Workshop on Machine Learning Meets Differential Equations (ML-DE-2024), located at ECAI 2024, September 20, Santiago de Compostela, Spain, Pages 1-16, Proceedings of Machine Learning Research (PMLR), Vol. 255, PMLR, 2024.

  7. J. Schmidinger; V. Barkov; H. Tavakoli; J. Correa; M. Ostermann; Martin Atzmueller; R. Gebbers; S. Vogel

    Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors

    In: Geoderma, Vol. 450, Pages 1-34, Geoderma, 10/2024.

  8. Timo Markert; Sebastian Matich; Daniel Neykov; Jonas Pfannes; Andreas Theissler; Martin Atzmueller

    Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation

    In: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Pages 1761-1767, IEEE, 2024.

  9. Martin Atzmueller; Johannes Fürnkranz; Tomávs Kliegr; Ute Schmid

    Explainable and interpretable machine learning and data mining

    In: Data Mining and Knowledge Discovery, Vol. 38, No. 5, Pages 2571-2595, Springer, 2024.

  10. Jan Herbst; Matthias Rüb; Sogo Pierre Sanon; Christoph Lipps; Hans Dieter Schotten

    Medical Data in Wireless Body Area Networks: Device Authentication Techniques and Threat Mitigation Strategies Based on a Token-Based Communication Approach

    In: Network, Vol. 4, No. 2, Pages 133-149, MDPI, 4/2024.

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