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Publications

Displaying results 71 to 80 of 599.
  1. 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 0-10, Frontiers, 2020.

  7. Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz

    Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

  8. 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.

  9. Marc Hildebrandt; Sascha Arnold; Philipp Kloss; Bilal Wehbe; Michael Zipper

    From epi-to bathypelagic: Transformation of a compact auv system for long-term deployments

    In: 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV). IEEE/OES Autonomous Underwater Vehicles (AUV-2020), Memorial University of Newfoundland, St. John's, NL, Canada, Pages 1-6, IEEE, 2020.

  10. Tewodros Amberbir Habtegebrial; Varun Jampani; Orazio Gallo; Didier Stricker

    Generative View Synthesis: From Single-view Semantics to Novel-view Images

    In: H. Larochelle; M. Ranzato; R. Hadsell; M.F. Balcan; H. Lin (Hrsg.). Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Neural Information Processing Systems (NeurIPS-2020), December 6-12, Neural Information Processing Systems, 12/2020.