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Publications

Displaying results 141 to 150 of 668.

  1. Marc Steffen Seibel; Marc Rowedder; Julia Andresen; Richard Neffin; Tobias Neumann; Helge Sudkamp; Heinz Handels; Timo Kepp

    Enhancing retinal SELFF-OCT image quality: a deep-learning-based pipeline

    In: Medical Imaging 2025: Image Processing. SPIE Medical Imaging (SPIE-2025), San Diego, United States, Vol. 13406, SPIE, 2025.

  2. Timo Kepp; Hristina Uzunova; Jan Ehrhardt; Heinz Handels

    KI-basierte Anwendungen in der medizinischen Bildverarbeitung

    In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, Vol. 68, No. 8, Pages 862-871, Springer, 2025.

  3. Julen Urain; Ajay Mandlekar; Yilun Du; Nur Muhammad (Mahi) Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

    A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations

    In: IEEE Transactions on Robotics and Automation, Vol. 42, Pages 60-79, ArXiv, 2026.

  4. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  5. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5255-5258, arXiv, 2025.

  6. Joao Carvalho; An T. Le; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters

    Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.08398, Pages 1-8, arXiv, 2024.

  7. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.16824, Pages 1-31, arXiv, 2024.

  8. Leonid Schwenke; Till Stückemann; Martin Atzmueller

    Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability

    In: Proc. International Work-Conference on Artificial Neural Networks. International Work-Conference on Artificial Neural Networks (IWANN), Springer, 2025.

  9. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps

    In: IEEE Access (IEEE), Vol. 13, Pages 130629-130637, IEEE, 2025.

  10. Max Bramer; Frederic Theodor Stahl (Hrsg.)

    Artificial Intelligence XLII

    SGAI International Conference on Artificial Intelligence (AI-2025), 45th SGAI International Conference on Artificial Intelligence, December 16-18, Cambridge, United Kingdom, Lecture Notes in Computer Science (LNAI), Vol. 16302, Springer Nature Switzerland, Cham, 12/2025.

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