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Year: 2020
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Displaying results 21 to 30 of 91.

  1. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Expanding PPML beyond Neural Networks

    In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving …

  2. 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.

  3. 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.

  4. 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.

  5. Ralph Bergmann; Manuel Biertz; Lorik Dumani; Mirko Lenz; Anna-Katharina Ludwig; Patrick J. Neumann; Stefan Ollinger; Premtim Sahitaj; Ralf Schenkel; Alex Witry

    The ReCAP Project

    In: Datenbank-Spektrum (Spektrum), Vol. 20, Pages 93-98, Springer, 2020.

  6. Mirko Lenz; Premtim Sahitaj; Sean Kallenberg; Christopher Coors; Lorik Dumani; Ralf Schenkel; Ralph Bergmann

    Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs

    In: Computational Models of Argument. International Conference on Computational Models of Argument (COMMA-2020), September 4-11, Virtual Event, Pages …

  7. Samuele Tosatto; Jonas Stadtmueller; Jan Peters

    Dimensionality Reduction of Movement Primitives in Parameter Space

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02634, Pages 0-10, arXiv, 2020.

  8. Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters

    Bayesian Domain Randomization for Sim-to-Real Transfer

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02471, Pages 0-10, arXiv, 2020.

  9. Samuele Tosatto; Riad Akrour; Jan Peters

    An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2001.10972, Pages 0-10, arXiv, 2020.

  10. Diego Agudelo-Espa~na; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters

    Bayesian Online Prediction of Change Points

    In: Ryan P. Adams; Vibhav Gogate (Hrsg.). Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence. Conference in …

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