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  1. Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller

    Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach

    In: 2023 International Conference on Machine Learning and Applications (ICMLA). International Conference on Machine Learning and Applications (ICMLA), …

  2. Thuy Duong Oesterreich; Eduard Anton; Julian Schuir; Alexander Brehm; Frank Teuteberg

    How can I help you? Design principles for task-oriented speech dialog systems in customer service

    In: Information Systems and e-Business Management, Vol. 21, No. 1, Pages 37-79, Springer Nature, 12/2023.

  3. Eduard Anton; Thuy Duong Oesterreich; Markus Aptyka; Frank Teuteberg

    Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture

    In: Pacific Asia Journal of the Association for Information Systems (PAJAIS), Vol. 15, No. 3, Pages 1-36, Association for Information Systems, 2023.

  4. Nicolas Schuler; Maximilian Hoffmann; Hans-Peter Beise; Ralph Bergmann

    Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning

    In: Max Bramer; Frederic Stahl (Hrsg.). Artificial Intelligence XL. SGAI International Conference on Artificial Intelligence (AI-2023), Cambridge, …

  5. Rajai Alhimdiat; Wesam Ashour; Ramy Battrawy; Didier Stricker

    Accelerating the Run-Time of Convolutional Neural Networks through Weight Pruning and Quantization

    In: International Engineering Conference on Renewable Energy & Sustainability. International Engineering Conference on Renewable Energy & …

  6. EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support

    In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2023), located at The 34th British Machine Vision Conference, November …

  7. I4.0 Holonic Multi-agent Testbed Enabling Shared Production

    In: John Soldatos (Hrsg.). Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI. Chapter …

  8. Björn Deiseroth; Mayukh Deb; Samuel Weinbach; Manuel Brack; Patrick Schramowski; Kristian Kersting

    ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

    In: Thirty-seventh Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Curran Associates, Inc. 2023.

  9. Michael Lutter; Jan Peters

    Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

    In: International Journal of Robotics Research (IJRR), Vol. abs/2110.01894, Pages 83-107, Sage Publications, 2023.