Skip to main content Skip to main navigation

Publikationen

 

Aufgrund von Wartungsarbeiten ist die Suche von Publikationen nach Autor:innen derzeit nicht möglich.

Aktive Filter:

Jahr: 2020
Alle Filter entfernen
Zeige Ergebnisse 21 bis 30 von 596

  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. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International …

  6. Julen Urain; Davide Tateo; Tianyu Ren; Jan Peters

    Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.06224, Pages 0-10, arXiv, 2020.

  7. Sebastian Höfer; Kostas E. Bekris; Ankur Handa; Juan Camilo Gamboa Higuera; Florian Golemo; Melissa Mozifian; Christopher G. Atkeson; Dieter Fox; Ken Goldberg; John Leonard; C. Karen Liu; Jan Peters; Shuran Song; Peter Welinder; Martha White

    Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.03806, Pages 0-10, arXiv, 2020.

  8. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    A Differentiable Newton Euler Algorithm for Multi-body Model Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.09802, Pages 0-10, arXiv, 2020.

  9. Andreas Look; Simona Doneva; Melih Kandemir; Rainer Gemulla; Jan Peters

    Differentiable Implicit Layers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.07078, Pages 0-10, arXiv, 2020.

  10. Andreas Look; Chen Qiu; Maja Rudolph; Jan Peters; Melih Kandemir

    Deterministic Inference of Neural Stochastic Differential Equations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.08973, Pages 0-10, arXiv, 2020.

Jahr