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Publications

Displaying results 141 to 150 of 682.

  1. 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.

  2. 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.

  3. Babu Ajish

    Control of robots with hybrid locomotion capabilities

    PhD-Thesis, DFKI, 8/2025.

  4. Saifullah Saifullah; Stefan Agne; Andreas Dengel; Sheraz Ahmed

    DP-DocLDM: Differentially Private Document Image Generation Using Latent Diffusion Models

    In: XC. Yin (Hrsg.). ICDAR 2025. International Conference on Document Analysis and Recognition (ICDAR-2025), Springer Nature, 2025.

  5. 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.

  6. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D’Eramo (Hrsg.)

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2024), 17th European Workshop on Reinforcement Learning, European Workshop on Reinforcement Learning, 2024.

  7. Tarek Elmihoub; Abdulhakim El Gadi Gadi; Lars Nolle; Frederic Theodor Stahl

    On Object Detection and Explainability with Sonar Imagery

    In: 2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA-2024), May 19-21, Tripoli, Libyan Arab Jamahiriya, Pages 1-8, ISBN 979-8-3503-7263-2, IEEE Xplore, New Jersey, 7/2024.

  8. 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.

  9. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  10. 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.

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