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Publications

Displaying results 171 to 180 of 668.

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

    DeiSAM: Segment Anything with Deictic Prompting

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2402.14123, Pages 1-23, arXiv, 2024.

  2. Roshni Kamath; Rupert Mitchell; Subarnaduti Paul; Kristian Kersting; Martin Mundt

    BOWLL: A Deceptively Simple Open World Lifelong Learner

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2402.04814, Pages 1-16, arXiv, 2024.

  3. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

  4. Quentin Delfosse; Sebastian Sztwiertnia; Mark Rothermel; Wolfgang Stammer; Kristian Kersting

    Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. International Conference on Neural Information Processing (ICONIP), arXiv, 2024.

  5. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. International Conference on Machine Learning (ICML), OpenReview.net, 2024.

  6. Michael Poli; Armin W. Thomas; Eric Nguyen; Pragaash Ponnusamy; Björn Deiseroth; Kristian Kersting; Taiji Suzuki; Brian L. Hie; Stefano Ermon; Christopher Ré; Ce Zhang; Stefano Massaroli

    Mechanistic Design and Scaling of Hybrid Architectures

    In: Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. International Conference on Machine Learning (ICML), OpenReview.net, 2024.

  7. Ahmed Hendawy; Henrik Metternich; Théo Vincent; Mahdi Kallel; Jan Peters; Carlo D'Eramo

    Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

    In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2026), located at ICLR-2026, ICLR, 2026.

  8. Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Abdullah Akgül; Yaniv Oren; Melih Kandemir; Jan Peters; Carlo D'Eramo

    Bridging the performance-gap between target-free and target-based reinforcement learning

    In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2026), located at ICLR-2026, ICLR, 2026.

  9. Yan Liu; Tao Jiang; Rui Li; Lingling Yuan; Marcin Grzegorzek; Chen Li; Xiaoyan Li

    A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis

    In: Frontiers in Medicine, Vol. Volume 12 - 2025, Pages 1551894-1551894, Frontiers Media SA, 7/2025.

  10. Yihao Sun; Tianming Du; Bin Wang; Mamunur Rahaman; Xinghao Wang; Xinyu Huang; Tao Jiang; Marcin Grzegorzek; Hongzan Sun; Jian Xu; Chen Li

    COVID-19CT+: A public dataset of CT images for COVID-19 retrospective analysis

    In: Journal of X-ray science and technology, Vol. 33, Pages 901-915, SAGE Journals, 5/2025.

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