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Publications

Displaying results 61 to 70 of 14804.

  1. Maxx Richard Rahman; Mostafa Hammouda; Wolfgang Maaß

    DiGAN: Diffusion-Guided Attention Network for Early Alzheimer's Disease Detection

    In: 1st AI for Healthy Aging and Longevity Workshop (AIAA). AAAI Conference on Artificial Intelligence (AAAI-2026), AAAI, 2026.

  2. Payal Varshney; Adriano Lucieri; Christoph Peter Balada; Sheraz Ahmed; Andreas Dengel

    LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations

    2025.

  3. Abdulrahman Mohamed Selim; Omair Shahzad Bhatti; Amr Gomaa; Michael Barz; Daniel Sonntag

    Do You (Dis)agree With Me? Modelling Implicit User Disagreement in Human–AI Interaction Using Gaze Data

    In: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems (CHI-2026), April 13-17, Barcelona, Spain, Association for Computing Machinery (ACM), 2026.

  4. Tobias Wirth; Mihai Maftei; Hartmut Hilpert; Lisa-Marie Goltz; Iris Merget

    KI für eine sichere Gesellschaft

    In: Maximilian Wanderwitz. Risikoanalyse Künstliche Intelligenz. Pages 381-421, ISBN 978-3-662-72661-7, Springer Berlin Heidelberg, Berlin, Heidelberg, 2026.

  5. Yaxu Xie; Abdalla Elsayed Abdou Elsayed Mohamed Arafa; Alireza Javanmardi; Christen Millerdurai; Jia Cheng Hu; Shaoxiang Wang; Alain Pagani; Didier Stricker

    ReLaGS: Relational Language Gaussian Splatting

    In: Proc. of. International Conference on Computer Vision and Pattern Recognition (CVPR-2026), IEEE/CVF, 2026.

  6. Daniil Gurgurov; Michal Gregor; Josef van Genabith; Simon Ostermann

    On Multilingual Encoder Language Model Compression for Low-Resource Languages

    In: Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL-2025), December 20-24, Mumbai, India, The Asian Federation of Natural Language Processing and The Association for Computational Linguistics, 12/2025.

  7. Daniil Gurgurov; Katharina Trinley; Ivan Vykopal; Josef van Genabith; Simon Ostermann; Roberto Zamparelli

    Multilingual Political Views of Large Language Models: Identification and Steering

    In: Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL-2025), December 20-24, Mumbai, India, The Asian Federation of Natural Language Processing and The Association for Computational Linguistics, Mumbai, India, 12/2025.

  8. Daniil Gurgurov; Katharina Trinley; Yusser Al Ghussin; Tanja Bäumel; Josef van Genabith; Simon Ostermann

    Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation

    In: Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL-2025), December 20-24, Mumbai, India, Pages 2911-2937, ISBN 979-8-89176-298-5, The Asian Federation of Natural Language Processing and The Association for Computational Linguistics, 12/2025.

  9. Jan Tauberschmidt; Sophie Fellenz; Sebastian Vollmer; Andrew B. Duncan

    Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems

    In: The Fourteenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR), located at ICLR-2026, April 23-27, Rio de Janeiro, Brazil, ICLR, 2026.

  10. Mohamed Karim Belaid; Maximilian Rabus; Eyke Hüllermeier

    Uncertainty Quantification in Pairwise Difference Learning for Classification

    In: Machine Learning, Vol. 115, No. 1, Pages 12-12, Springer, 2026.

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