Publications

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.

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.

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.

Vinit Vikas Hegiste; Tatjana Legler; Martin Ruskowski

Collaborative Learning in Shared Production Environment Using Federated Image Classification

In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

Christoph Peter Balada; Aida Romano-Martinez; Vincent ten Cate; Katharina Geschke; Jonas Tesarz; Paul Claßen; Alexander K Schuster; Dativa Tibyampansha; Karl-Patrik Kresoja; Philipp S Wild; others

Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

In: Lecture Notes in Computer Science. Medical Image Understanding and Analysis (MIUA-2025), LNCS, Springer Nature, 2025.

Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

Augmentation of Semantic Processes for Deep Learning Applications

In: Applied Artificial Intelligence, Vol. 39, No. 1, Pages 1-48, Taylor & Francis, 2025.

Shakib Yazdani; Josef van Genabith; Cristina España-Bonet

Continual Learning in Multilingual Sign Language Translation

In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-2025), April 29 - May 4, Albuquerque, New Mexico, USA, Pages 10923-10938, Association for Computational Linguistics, 2025.

Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Andreas Dengel

Generative language models potential for requirement engineering applications: insights into current strengths and limitations

In: Complex & Intelligent Systems, Vol. 11, No. 6, Pages 1-22, Springer, 2025.

Tim Dahmen; Niklas Rottmayer; Katja Schladitz; Markus Kronenberger; Ziwei He; Miriam Hommel; Petra Gospodnetic; Claudia Redenbach

Combining Stochastic Geometry and Neural Models of Electron Matter Interaction for the Simulation of Electron Imaging of Porous Materials

In: Proceedings of the XI International Conference on Coupled Problems in Science and Engineering. International Conference on Coupled Problems in Science and Engineering (Coupled Problems-2025), May 25-28, Villasimius, Sardinia, Italy, IACM, 2025.

Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

In: Proceedings of the 2nd Reinforcement Learning Conference 2025. Reinforcement Learning Conference (RLC-2025), August 5-9, Edmonton, AB, Canada, Reinforcement Learning Journal (RLJ), 2025.