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Publications

Displaying results 1951 to 1960 of 15069.

  1. 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 FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

  2. 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), June 18-24, New Orleans, LA, USA, Pages 10307-10318, IEEE, 2022.

  3. Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting

    DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

    In: Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi (Hrsg.). Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2022), June 14-17, Halifax, NS, Canada, Pages 178-188, Lecture Notes in Computer Science, Vol. 13263, Springer, 2022.

  4. Zhongjie Yu; Devendra Singh Dhami; Kristian Kersting

    Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.06587, Pages 0-10, arXiv, 2021.

  5. Steven Lang; Fabrizio Ventola; Kristian Kersting

    DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.06148, Pages 0-10, arXiv, 2021.

  6. Matej Zecevic; Devendra Singh Dhami; Petar Velickovic; Kristian Kersting

    Relating Graph Neural Networks to Structural Causal Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.04173, Pages 0-10, arXiv, 2021.

  7. Maximilian Otte; Quentin Delfosse; Johannes Czech; Kristian Kersting

    Generative Adversarial Neural Cellular Automata

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2108.04328, Pages 0-10, arXiv, 2021.

  8. Nils Thoma; Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.04148, Pages 0-10, arXiv, 2021.

  9. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Intriguing Parameters of Structural Causal Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.12697, Pages 0-10, arXiv, 2021.

  10. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User Label Leakage from Gradients in Federated Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.09369, Pages 0-10, arXiv, 2021.

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