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Year: 2019
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Displaying results 1 to 10 of 571.

  1. Sophie F. Jentzsch; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting

    Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices

    In: Vincent Conitzer; Gillian K. Hadfield; Shannon Vallor (Hrsg.). Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. AAAI Conference on Artificial Intelligence (AAAI-2019), January 27-28, Honolulu, HI, USA, Pages 37-44, ACM, 2019.

  2. Mayukh Das; Devendra Singh Dhami; Gautam Kunapuli; Kristian Kersting; Sriraam Natarajan

    Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

    In: The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2019), Pages 7816-7824, AAAI Press, 2019.

  3. Antonio Vergari; Alejandro Molina; Robert Peharz; Zoubin Ghahramani; Kristian Kersting; Isabel Valera

    Automatic Bayesian Density Analysis

    In: The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2019), Pages 5207-5215, AAAI Press, 2019.

  4. Anna Brugger; Jan Behmann; Stefan Paulus; Hans-Georg Luigs; Matheus Thomas Kuska; Patrick Schramowski; Kristian Kersting; Ulrike Steiner; Anne-Katrin Mahlein

    Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range

    In: Remote Sensing, Vol. 11, No. 12, Pages 0-10, MDPI, 2019.

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

    BERT has a Moral Compass: Improvements of ethical and moral values of machines

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1912.05238, Pages 0-10, arXiv, 2019.

  6. Fabrizio Ventola; Karl Stelzner; Alejandro Molina; Kristian Kersting

    Random Sum-Product Forests with Residual Links

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.03250, Pages 0-10, arXiv, 2019.

  7. Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting

    SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1901.03704, Pages 0-10, arXiv, 2019.

  8. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani

    Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

    In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2019), July 22-25, Tel Aviv, Israel, Pages 334-344, Proceedings of Machine Learning Research, Vol. 115, AUAI Press, 2019.

  9. Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

    DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

    In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2019), International Workshops of ECML PKDD 2019, Proceedings, Part I, September 16-20, Würzburg, Germany, Pages 28-43, Communications in Computer and Information Science, Vol. 1167, Springer, 2019.

  10. Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

    Neural Networks for Relational Data

    In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2019), September 3-5, Plovdiv, Bulgaria, Pages 62-71, Lecture Notes in Computer Science (LNAI), Vol. 11770, Springer, 2019.

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