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Publications

Displaying results 1571 to 1580 of 15024.

  1. Alejandro Molina; Patrick Schramowski; Kristian Kersting

    Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

    In: 8th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2020), April 26-30, Addis Ababa, Ethiopia, OpenReview.net, 2020.

  2. Ute Schmid; Volker Tresp; Matthias Bethge; Kristian Kersting; Rainer Stiefelhagen

    Künstliche Intelligenz - Die dritte Welle

    In: Ralf H. Reussner; Anne Koziolek; Robert Heinrich (Hrsg.). 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future. Jahrestagung der Gesellschaft für Informatik (INFORMATIK-2020), September 28 - October 2, Karlsruhe, Germany, Pages 91-95, LNI, Vol. P-307, GI, 2020.

  3. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Privacy-Preserving Sum-Product Network Inference

    In: Giuseppe De Giacomo; Alejandro Catalá; Bistra Dilkina; Michela Milano; Senén Barro; Alberto Bugarín; Jérôme Lang (Hrsg.). 24th European Conference on Artificial Intelligence. European Conference on Artificial Intelligence (ECAI-2020), August 29 - September 8, Santiago de Compostela, Spain, Pages 1946-1953, Frontiers in Artificial Intelligence and Applications, Vol. 325, IOS Press, 2020.

  4. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Expanding PPML beyond Neural Networks

    In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice. Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP-20), located at CS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, November 9, Virtual Event, Pages 9-14, ISBN 978-1-4503-8088-1, ACM, 2020.

  5. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Making deep neural networks right for the right scientific reasons by interacting with their explanations

    In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

  6. Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

    The Moral Choice Machine

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 1-10, Frontiers, 2020.

  7. Fabian Hadiji; Rafet Sifa; Anders Drachen; Christian Thurau; Kristian Kersting; Christian Bauckhage

    Predicting player churn in the wild

    In: 2014 IEEE Conference on Computational Intelligence and Games. IEEE Conference on Computational Intelligence and Games (CIG-2014), August 26-29, Dortmund, Germany, Pages 1-8, IEEE, 2014.

  8. Martin Mladenov; Kristian Kersting; Amir Globerson

    Efficient Lifting of MAP LP Relaxations Using k-Locality

    In: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2014), April 22-25, Reykjavik, Iceland, Pages 623-632, JMLR Workshop and Conference Proceedings, Vol. 33, JMLR.org, 2014.

  9. Shrutika Poyrekar; Sriraam Natarajan; Kristian Kersting

    A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck

    In: Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2014), July 27, Québec City, Québec, Canada, AAAI Technical Report, Vol. WS-14-13, AAAI, 2014.

  10. René Pallenberg; Marja Fleitmann; Andreas Martin Stroth; Jan Gerlach; Alexander Fürschke; Jörg Barkhausen; Arpad Bischof; Heinz Handels

    Random Forest and Gradient Boosted Trees for Patient Individualized Contrast Agent Dose Reduction in CT Angiography

    In: Studies in health technology and informatics, Vol. 302, Pages 952-956, IOS Press, 5/2023.

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