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Publications

Displaying results 41 to 50 of 471.

  1. Robert Peharz; Steven Lang; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Guy Van den Broeck; Kristian Kersting; Zoubin Ghahramani

    Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

    In: Proceedings of the 37th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2020), July 13-18, Pages …

  2. Alejandro Molina; Patrick Schramowski; Kristian Kersting

    Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

    In: 8th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2020), April 26-30, Addis …

  3. 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 …

  4. 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.

  5. 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.

  6. Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Neuro-Symbolic Forward Reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.09383, Pages 0-10, arXiv, 2021.

  7. Zihan Ye; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Differentiable Meta logical Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.11650, Pages 0-10, arXiv, 2022.

  8. Quentin Delfosse; Wolfgang Stammer; Thomas Rothenbacher; Dwarak Vittal; Kristian Kersting

    Boosting Object Representation Learning via Motion and Object Continuity

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.09771, Pages 0-10, arXiv, 2022.

  9. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.07341, Pages 0-10, arXiv, 2022.

  10. Frieder Uhlig; Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Transformer-Boosted Anomaly Detection with Fuzzy Hashes

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2208.11367, Pages 0-10, arXiv, 2022.

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