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Publications

Displaying results 271 to 280 of 621.

  1. Donald Pfaffmann; Matthias Klusch; Marcel Steinmetz

    HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving

    In: Proceedings of the 37th IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium (IV-2026), Detroit, MI, USA, IEEE, 2026.

  2. Yuzhou Wang; Xiaojie Li; Frank Kulwa; Xiaoyan Li; Shuochen Tai; Shuaiyi Tian; Kunyang Teng; Marcin Grzegorzek; Xinyu Huang; Tao Jiang; Chen Li

    A Microscopic Image Processing Platform for Multi-class Cell Segmentation Using Deep Learning

    In: Intelligent Medicine, Vol. not yet assigned, Page not yet assigned, Elsevier, 9/2025.

  3. Tianming Du; Tao Jiang; Xuanyi Li; Md Mamunur Rahaman; Marcin Grzegorzek; Chen Li

    Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics

    In: Frontiers in Medicine, Vol. 12, Pages 1608652-1608652, Frontiers Media SA, 9/2025.

  4. Shange Wang; Lin Xu; Linshuai Zhang; Yujie Zhang; Chen Li; Marcin Grzegorzek; Jing Guo; Tao Jiang

    HHBSNet: a global channel–spatial attention and multi-scale dilated convolution network for automatic melasma segmentation

    In: Frontiers in Physiology, Vol. 16 - 2025, Frontiers Media SA, 11/2025.

  5. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Proceedings of the 38th Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), Advances in Neural Information Processing Systems, 2024.

  6. Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting

    Adaptive Rational Activations to Boost Deep Reinforcement Learning

    In: Proceedings of the International Conference on Representation Learning (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview.net, 2024.

  7. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview, 2024.

  8. Daniel Ochs; Karsten Wiertz; Sebastian Bußmann; Kristian Kersting; Devendra Singh Dhami

    Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

    In: Remote Sensing, Vol. 16, No. 2, Pages 1-13, MDPI, 2024.

  9. Dominik Hintersdorf; Lukas Struppek; Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting

    Does CLIP Know My Face?

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 80, Pages 1033-1062, arXiv, 2024.

  10. Simon Kohaut; Felix Divo; Navid Hamid; Benedict Flade; Julian Eggert; Devendra Singh Dhami; Kristian Kersting

    The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.15478, Pages 1-11, Computing Research Repository, 2025.

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