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Publications

Displaying results 191 to 200 of 563.

  1. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    (alpha)ILP: thinking visual scenes as differentiable logic programs

    In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

  2. Martin Courtois; Malte Ostendorff; Leonhard Hennig; Georg Rehm

    Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

    In: The 62nd Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-2024), Findings of the Association for Computational Linguistics, August 11-16, Bangkok, Thailand, Association for Computational Linguistics, 2024.

  3. Raia Abu Ahmad; Georg Rehm

    Knowledge Injection for Field of Research Classification and Scholarly Information Processing

    In: SN Computer Science (SNCS), Vol. TBA, Page TBA, Springer, 2024.

  4. Ekaterina Borisova; Raia Abu Ahmad; Leyla Garcia-Castro; Ricardo Usbeck; Georg Rehm

    Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse

    In: Sophie Henning; Manfred Stede (Hrsg.). Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII). Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 17-22, St. Julians, Malta, Pages 29-45, Association for Computational Linguistics, 3/2024.

  5. Katharina Hengel; Achim Wagner; Martin Ruskowski

    A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

    In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), 18th IFAC Symposium on Information Control Problems in Manufacturing, August 28-30, Vienna, Austria, Elsevier, 2024.

  6. Nabeel Khalid; Anwai Archit; Luca Freckmann; Sushmita Nair; Paul Hilt; Vikas Rajashekar; Marei Freitag; Carolin Teuber; Genevieve Buckley; Sebastian von Haaren; Sagnik Gupta; Andreas Dengel; Sheraz Ahmed; Constantin Pape

    Segment Anything for Microscopy

    In: Nature, Vol. 22, Pages 579-591, Nature Methods, 2/2025.

  7. Rashmi Alur Ramachandra; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.

  8. Jayasankar Santhosh; Akshay Palimar Pai; Shoya Ishimaru

    Toward an Interactive Reading Experience: Deep Learning Insights and Visual Narratives of Engagement and Emotion

    In: IEEE Access (IEEE), Vol. Volume : 12, Pages 6001-6016, IEEE, 2024.

  9. Tom Vincent Slawik; Bilal Wehbe; Leif Christensen

    Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization

    In: 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.

  10. Matthias Tschöpe; Dennis Schneider; Sungho Suh; Paul Lukowicz

    A Novel Guidance Framework for Nasal Rapid Antigen Tests with Improved Swab Keypoint Detection

    In: SSRN Electronic Journal, Vol. SSRN, Pages 1-32, SSRN, 2023.

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