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Publications

Displaying results 11 to 20 of 571.

  1. David Antony Selby; Maximilian Sprang; Jan Ewald; Sebastian Vollmer

    Beyond the black box with biologically informed neural networks

    In: Linda Koch (Hrsg.). Nature Reviews Genetics (Nat Rev Genet), Vol. NA, Pages NA-NA, Springer Nature, 3/2025.

  2. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  3. Ankush Sinha; Antonio Macaluso; Matthias Klusch

    Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars

    In: Quantum Machine Intelligence (QMI), Vol. tba, Pages 1-34, Springer, 2025.

  4. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  5. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  6. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  7. 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.

  8. 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.

  9. Snehal Walunj; Nazanin Mashhaditafreshi; Parsha Pahlevannejad; Achim Wagner; Martin Ruskowski

    Human-Robot Interaction Through Egocentric Hand Gesture Recognition

    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 125-133, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  10. Vinit 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.

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