Skip to main content Skip to main navigation

Publications

Displaying results 1191 to 1200 of 5313.

  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. Xiaoting Shao; Karl Stelzner; Kristian Kersting

    Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.00391, Pages 0-10, arXiv, 2022.

  4. Zhongjie Yu; Fabrizio Ventola; Nils Thoma; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Predictive Whittle networks for time series

    In: James Cussens; Kun Zhang (Hrsg.). Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2022), August 1-5, Eindhoven, Netherlands, Pages 2320-2330, Proceedings of Machine Learning Research, Vol. 180, PMLR, 2022.

  5. 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 Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  6. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  7. 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.

  8. Pascal Rübel; Simon Jungbluth; William Motsch; Martin Ruskowski

    Automated Communication for Fault Diagnosis in Flexible Production Environments

    In: Yi-Chi Wang; Siu Hang Chan; Zih-Huei Wang (Hrsg.). Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM-2024), Cham, Pages 185-196, ISBN 978-3-031-74485-3, Springer Nature Switzerland, 2024.

  9. Fabrizio Fornari; Ivan Compagnucci; Massimo Callisto De Donato; Yannis Bertrand; Harry H. Beyel; Emilio Carrión; Marco Franceschetti; Wolfgang Groher; Joscha Grüger; Emre Kilic; Agnes Koschmider; Francesco Leotta; Chiao-Yun Li; Giovani Lugaresi; Lukas Malburg; Juergen Mangler; Massimo Mecella; Oscar Pastor; Uwe Riss; Ronny Seiger; Estefania Serral; Victoria Torres; Pedro Valderas

    Digital Twins of Business Processes: A research manifesto

    In: Internet of Things, Vol. 0, Page 101477, Elsevier, 2024.

  10. Susan Beudt; Rolf Feichtenbeiner; Berit Blanc; Niels Pinkwart

    Inklusion durch künstliche Intelligenz? Zur Rolle und Bedeutung KI-gestützter Assistenztechnologien für Menschen mit Behinderungen

    In: Kai Gondlach; Birgit Brinkmann; Mark Brinkmann; Julia Plath (Hrsg.). Regenerative Zukünfte und künstliche Intelligenz. Band 2: PEOPLE. Pages 143-161, SDG - Forschung, Konzepte, Lösungsansätze zur Nachhaltigkeit (SDGFKLN), ISBN 978-3-658-44852-3, Springer VS, Wiesbaden, 12/2024.

Year

More options