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Publications

Displaying results 251 to 260 of 3788.
  1. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Kristian Kersting; Zoubin Ghahramani

    Probabilistic Deep Learning using Random Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1806.01910, Pages 0-10, arXiv, 2018.

  2. Shuo Yang; Fabian Hadiji; Kristian Kersting; Shaun J. Grannis; Sriraam Natarajan

    Modeling heart procedures from EHRs: An application of exponential families

    In: Xiaohua Hu; Chi-Ren Shyu; Yana Bromberg; Jean Gao; Yang Gong; Dmitry Korkin; Illhoi Yoo; Huiru Jane Zheng (Hrsg.). 2017 IEEE International Conference on Bioinformatics and Biomedicine. IEEE International Conference on Bioinformatics and Biomedicine (BIBM-2017), November 13-16, Kansas City, MO, USA, Pages 491-497, IEEE Computer Society, 2017.

  3. Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2017), February 4-9, San Francisco, California, USA, Pages 2357-2363, AAAI Press, 2017.

  4. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Inference for Convex Quadratic Programs

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2017), February 4-9, San Francisco, California, USA, Pages 2350-2356, AAAI Press, 2017.

  5. Martin Mladenov; Vaishak Belle; Kristian Kersting

    The Symbolic Interior Point Method

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2017), February 4-9, San Francisco, California, USA, Pages 1199-1205, AAAI Press, 2017.

  6. Zhao Xu; Kristian Kersting; Lorenzo von Ritter

    Stochastic Online Anomaly Analysis for Streaming Time Series

    In: Carles Sierra (Hrsg.). Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2017), August 19-25, Melbourne, Australia, Pages 3189-3195, ijcai.org, 2017.

  7. Christopher Morris; Kristian Kersting; Petra Mutzel

    Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs

    In: Vijay Raghavan; Srinivas Aluru; George Karypis; Lucio Miele; Xindong Wu (Hrsg.). 2017 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2017), November 18-21, New Orleans, LA, USA, Pages 327-336, IEEE Computer Society, 2017.

  8. Iryna Gurevych; Christian M. Meyer; Carsten Binnig; Johannes Fürnkranz; Kristian Kersting; Stefan Roth; Edwin Simpson

    Interactive Data Analytics for the Humanities

    In: Alexander F. Gelbukh (Hrsg.). Computational Linguistics and Intelligent Text Processing - 18th International Conference. International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2017), April 17-23, Pages 527-549, Lecture Notes in Computer Science, Vol. 10761, Springer, 2017.

  9. Stefano Teso; Kristian Kersting

    "Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1805.08578, Pages 0-10, arXiv, 2018.

  10. Neural Conditional Gradients

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1803.04300, Pages 0-10, arXiv, 2018.