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Publications

Displaying results 1 to 10 of 73.
  1. 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.

  2. Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    Whittle Networks: A Deep Likelihood Model for Time Series

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine …

  3. Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations

    In: IEEE Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June …

  4. Xiaoting Shao; Arseny Skryagin; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions

    In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Conference on Artificial Intelligence (AAAI-2021), Pages 9533-9540, AAAI …

  5. Andreas Maier; Thomas M Deserno; Heinz Handels; Klaus Maier-Hein; Christoph Palm; Thomas Tolxdorff

    IJCARS: BVM 2021 special issue

    In: International journal of computer assisted radiology and surgery (IJCARS), Vol. 16, No. 12, Pages 2067-2068, Springer, 2021.

  6. ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks

    In: Andrea Marrella; Barbara Weber (Hrsg.). Business Process Management Workshops. Business Process Management (BPM), Springer, 2021.

  7. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Christoph Zehe; Olivier Cloarec; Rickard Sjogren; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework

    In: IJCNN 2021 Conference Proceedings. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, ISBN 978-0-7381-3366-9, IEEE, 2021.

  8. CircNet: An encoder–decoder-based convolution neural network (CNN) for circular RNA identification

    In: Neural Computing and Applications, Vol. 34, Pages 11441-11452, Springer, London, 1/2021.

  9. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research …

  10. Julien Brosseit; Benedikt Hahner; Fabio Muratore; Michael Gienger; Jan Peters

    Distilled Domain Randomization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2112.03149, Pages 0-10, arXiv, 2021.