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Publikationen

Zeige Ergebnisse 51 bis 60 von 297.
  1. 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.

  2. 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.

  3. Special issue on in-memory computing: Circuits, system, architecture and verification

    In: Memories - Materials, Devices, Circuits and Systems, Vol. 5, Pages 1-3, Science Direct, 10/2023.

  4. Simranjeet Singh; Chandan Jha; Ankit Bende; Phrangboklang Lyngton Thangkhiew; Vikas Rana; Sachin Patkar; Rolf Drechsler; Farhad Merchant

    Should We Even Optimize for Execution Energy? Rethinking Mapping for MAGIC Design Style

    In: IEEE Embedded Systems Letters (ESL), IEEE, 2023.

  5. André Zenner; Kristin Ullmann; Chiara Karr; Oscar Ariza; Antonio Krüger

    The Staircase Procedure Toolkit: Psychophysical Detection Threshold Experiments Made Easy

    In: Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology. ACM Symposium on Virtual Reality Software and Technology (VRST-2023), October 9-11, Christchurch, New Zealand, VRST '23, ISBN 9798400703287, Association for Computing Machinery, 10/2023.

  6. André Zenner; Chiara Karr; Martin Feick; Oscar Ariza; Antonio Krüger

    The Detectability of Saccadic Hand Offset in Virtual Reality

    In: Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology. ACM Symposium on Virtual Reality Software and Technology (VRST-2023), October 9-11, Christchurch, New Zealand, VRST '23, ISBN 9798400703287, Association for Computing Machinery, 10/2023.