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Publications

Displaying results 31 to 40 of 796.
  1. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge …

  2. Viktor Pfanschilling; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge …

  3. Xuan Xie; Kristian Kersting; Daniel Neider

    Neuro-Symbolic Verification of Deep Neural Networks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on …

  4. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    To Trust or Not To Trust Prediction Scores for Membership Inference Attacks

    In: Luc De Raedt (Hrsg.). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conference on …

  5. Lukas Struppek; Dominik Hintersdorf; Antonio De Almeida Correia; Antonia Adler; Kristian Kersting

    Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

    In: Kamalika Chaudhuri; Stefanie Jegelka; Le Song; Csaba Szepesvári; Gang Niu; Sivan Sabato (Hrsg.). International Conference on Machine Learning. …

  6. Martin Mundt; Steven Lang; Quentin Delfosse; Kristian Kersting

    CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability

    In: The Tenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2022), April 25-29, …

  7. Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Interactively Providing Explanations for Transformer Language Models

    In: Stefan Schlobach; María Pérez-Ortiz; Myrthe Tielman (Hrsg.). HHAI 2022: Augmenting Human Intellect - Proceedings of the First International …

  8. Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

    In: FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and …

  9. Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM …

  10. Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting

    Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), …