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Publications

Displaying results 1491 to 1500 of 15128.
  1. 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 Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 1350-1361, ISBN 978-1-4503-9352-2, ACM, 2022.

  2. 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.

  3. 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.

  4. 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.

  5. Matej Zecevic; Devendra Singh Dhami; Athresh Karanam; Sriraam Natarajan; Kristian Kersting

    Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models

    In: Marc'Aurelio Ranzato; Alina Beygelzimer; Yann N. Dauphin; Percy Liang; Jennifer Wortman Vaughan (Hrsg.). Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021. Neural Information Processing Systems (NeurIPS-2021), December 6-14, Pages 15019-15031, Curran Associates, Inc. 2021.

  6. Fabrizio Ventola; Devendra Singh Dhami; Kristian Kersting

    Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits

    In: Nikos Katzouris; Alexander Artikis (Hrsg.). Inductive Logic Programming - 30th International Conference, ILP 2021, Proceedings. International Conference on Inductive Logic Programming (ILP-2021), October 25-27, Virtual Event, Pages 251-265, Lecture Notes in Computer Science (LNAI), Vol. 13191, Springer, 2021.

  7. David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo; Kristian Kersting

    Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention

    In: Ceren Budak; Meeyoung Cha; Daniele Quercia; Lexing Xie (Hrsg.). Proceedings of the Fifteenth International AAAI Conference on Web and Social Media. AAAI Conference on Artificial Intelligence (AAAI-2021), June 7-10, Pages 691-702, AAAI Press, 2021.

  8. 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 Learning (ICML-2021), July 18-24, Pages 12177-12186, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

  9. Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    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 19-25, Pages 3619-3629, Computer Vision Foundation / IEEE, 2021.

  10. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    The Causal Loss: Driving Correlation to Imply Causation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12066, Pages 0-10, arXiv, 2021.