Skip to main content Skip to main navigation

Publications

Displaying results 661 to 670 of 8866.

  1. 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.

  2. 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.

  3. 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.

  4. 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 1-10, Frontiers, 2020.

  5. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    Do Not Trust Prediction Scores for Membership Inference Attacks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2111.09076, Pages 0-10, arXiv, 2021.

  6. Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Neuro-Symbolic Forward Reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.09383, Pages 0-10, arXiv, 2021.

  7. Zahra Zamani; Scott Sanner; Pascal Poupart; Kristian Kersting

    Symbolic Dynamic Programming for Continuous State and Observation POMDPs

    In: Peter L. Bartlett; Fernando C. N. Pereira; Christopher J. C. Burges; Léon Bottou; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Neural Information Processing Systems (NeurIPS-2012), December 3-6, Lake Tahoe, Nevada, USA, Pages 1403-1411, Curran Associates, Inc. 2012.

  8. Daan Fierens; Kristian Kersting; Jesse Davis; Jian Chen; Martin Mladenov

    Pairwise Markov Logic

    In: Fabrizio Riguzzi; Filip Zelezný (Hrsg.). Inductive Logic Programming - 22nd International Conference. International Conference on Inductive Logic Programming (ILP-2012), September 17-19, Dubrovnik, Croatia, Pages 58-73, Lecture Notes in Computer Science, Vol. 7842, Springer, 2012.

  9. Sriraam Natarajan; Saket Joshi; Baidya Nath Saha; Adam Edwards; Tushar Khot; Elizabeth Moody; Kristian Kersting; Christopher T. Whitlow; Joseph A. Maldjian

    A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain

    In: 11th International Conference on Machine Learning and Applications. International Conference on Machine Learning (ICML-2012), December 12-15, Boca Raton, FL, USA, Pages 203-208, Vol. 1, IEEE, 2012.

  10. Zhao Xu; Kristian Kersting; Christian Bauckhage

    Efficient Learning for Hashing Proportional Data

    In: Mohammed Javeed Zaki; Arno Siebes; Jeffrey Xu Yu; Bart Goethals; Geoffrey I. Webb; Xindong Wu (Hrsg.). 12th IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2012), December 10-13, Brussels, Belgium, Pages 735-744, IEEE Computer Society, 2012.

Year

More options