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Publications

Displaying results 11 to 20 of 646.

  1. Jonas Seng; Florian Peter Busch; Pooja Prasad; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Scaling Probabilistic Circuits via Data Partitioning

    In: Silvia Chiappa; Sara Magliacane (Hrsg.). Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025. International Conference on Uncertainty in AI (UAI), Pages 3701-3717, Proceedings of Machine Learning Research, Vol. 286, PMLR, 2025.

  2. Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

    Forecasting Company Fundamentals

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, Journal of Machine Learning Research, 2025.

  3. Florian Peter Busch; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    Elucidating linear programs by neural encodings

    In: Georgios Leontidis (Hrsg.). Frontiers in Artificial Intelligence, Vol. 8, Pages 1-14, Frontiers Media SA, 6/2025.

  4. Nika Strem; Devendra Singh Dhami; Benedikt Schmidt; Kristian Kersting

    Multimodal transformer for early alarm prediction

    In: Engineering Applications of Artificial Intelligence, Vol. 139, Part B, Pages 1-11, Elsevier, 1/2025.

  5. Vijul Shah; Ko Watanabe; Brian Moser; Andreas Dengel

    EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images

    In: IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, TUCSON, USA, IEEE, 2024.

  6. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable Sustainability, Human-Centered Green Technology for Community-wide Carbon Reduction, located at ACM CHI 2024, May 11, Honolulu, HI, USA, ISBN 979-8-4007-0331-7, ACM, New York, USA, 5/2024.

  7. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  8. 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.

  9. 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.

  10. 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.

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