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Publikationen

Zeige Ergebnisse 201 bis 210 von 14836.

  1. Zihan Ye; Phil Chau; Raban Emunds; Jannis Blüml; Cedric Derstroff; Quentin Delfosse; Oleg Arenz; Kristian Kersting

    Boosting deep Reinforcement Learning using pretraining with Logical Options

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2603.06565, Pages 1-23, arXiv, 2026.

  2. Mieszko Komisarczyk; Saurabh Mathur; Maurice Kraus; Sriraam Natarajan; Kristian Kersting

    Recursive Inference Machines for Neural Reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2603.05234, Pages 1-11, arXiv, 2026.

  3. Simon Kohaut; Benedict Flade; Julian Eggert; Kristian Kersting; Devendra Singh Dhami

    Right in Time: Reactive Reasoning in Regulated Traffic Spaces

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2603.03977, Pages 1-6, arXiv, 2026.

  4. Dayananda Herurkar; Jörn Hees; Vesselin Tzvetkov; Andreas Dengel

    Tabular Data Adapters: Pseudo-Labeling Unlabeled Private Tabular Data for Outlier Detection

    In: IEEE Access (Hrsg.). IEEE Access (IEEE), Vol. 14, Pages 25691-25705, IEEE, 2/2026.

  5. Dayananda Herurkar; Ahmed Anwar; Sebastian Palacio; Jörn Hees; Andreas Dengel

    Fin-Fed-OD: Enhancing Outlier Detection Using Federated Learning on Financial Tabular Data

    In: International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2025), located at FLTA25, October 14-17, Dubrovnik, Croatia, Pages 40-47, DFKI Research Reports (RR), ISBN 979-8-3315-5670-9, IEEE, 1/2026.

  6. Samuel Hill

    Adaptive Trust Infrastructures for AI: From an AI ClinicalTrials.gov framework to a Human-AI Workforce

    In: Mark Nitzberg; Stuart Russell; Atoosa Kasirzadeh; Jime Fernandez Fisac; Adam Gleave (Hrsg.). Proceedings of the Second Annual Conference of International Association for Safe and Ethical Artificial Intelligence. Annual Conference of The International Association for Safe & Ethical Artificial Intelligence (IASEAI-2026), February 24-26, Paris, France, IASEAI, 2/2026.

  7. Sara-Jane Bittner; Michael Barz; Daniel Sonntag

    FunduScope: a human-centered, machine learning-based interactive tool for training junior ophthalmologists in diabetic retinopathy detection

    In: Frontiers in Big Data, Vol. Volume 9 - 2026, Pages 1-14, Frontiers Media SA, 3/2026.

  8. Levin Maier; Lucas Schulze; Robert Lilow; Lukas Hahn; Nikola Krasowski; Arnulf Barth; Sebastian Gaebel; Ferdi Güran; Oliver Hanau; Giovanni Wagner; Falk Borgmann; Oleg Arenz; Jan Peters

    Mathematical Foundations of Modeling ETL Process Chains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2603.29877, Pages 1-8, arXiv, 2026.

  9. Hamish Flynn; Joe Watson; Ingmar Posner; Jan Peters

    Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2603.08287, Pages 1-37, arXiv, 2026.

  10. Christoph Albert Johns; László Kopácsi; Michael Barz; Daniel Sonntag

    Heads Up!: Towards In Situ Photogrammetry Annotations and Augmented Reality Visualizations for Guided Backcountry Skiing

    In: AlpCHI Demos: Hands-On Innovation: Interactive Demos. International Conference on Human-Computer Interaction in the Alps (AlpCHI-2026), March 1-5, Ascona, Switzerland, AlpCHI, 3/2026.

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