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Publikationen

Zeige Ergebnisse 19 bis 24 von 593
  1. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Making deep neural networks right for the right scientific reasons by interacting with their explanations

    In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

  2. Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

    The Moral Choice Machine

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

  3. Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz

    Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

  4. Ferdinand Küsters; Peter Schichtel; Sheraz Ahmed; Andreas Dengel

    Conceptual Explanations of Neural Network Prediction for Time Series

    In: IJCNN. International Joint Conference on Neural Networks (IJCNN), IEEE, 2020.

  5. Christian Eilers; Jonas Eschmann; Robin Menzenbach; Boris Belousov; Fabio Muratore; Jan Peters

    Underactuated waypoint trajectory optimization for light painting photography

    In: International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2020), May 31 - August 31, …

  6. Michael Lutter; Debora Clever; Boris Belousov; Kim Listmann; Jan Peters

    Evaluating the Robustness of HJB Optimal Feedback Control

    In: International Symposium on Robotics. International Symposium on Robotics (ISR-2020), 52th, December 9-10, Pages 1-8, VDE, 2020.