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Publications

Displaying results 1161 to 1170 of 14485.

  1. Christian Bauckhage; Kristian Kersting; Albrecht Schmidt

    Agriculture's Technological Makeover

    In: IEEE Pervasive Computing, Vol. 11, No. 2, Pages 4-7, IEEE, 2012.

  2. Tobias Lang; Marc Toussaint; Kristian Kersting

    Exploration in relational domains for model-based reinforcement learning

    In: Journal of Machine Learning Research, Vol. 13, Pages 3725-3768, JMLR, 2012.

  3. Christian Thurau; Kristian Kersting; Mirwaes Wahabzada; Christian Bauckhage

    Descriptive matrix factorization for sustainability Adopting the principle of opposites

    In: Data Mining and Knowledge Discovery, Vol. 24, No. 2, Pages 325-354, Springer, 2012.

  4. Christian Bauckhage; Kristian Kersting

    Efficient Information Theoretic Clustering on Discrete Lattices

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1310.7114, Pages 0-10, arXiv, 2013.

  5. Melya Boukheddimi; Rohit Kumar; Shivesh Kumar; Carpentier Justin; Frank Kirchner

    Investigations into Exploiting the Full Capabilities of a Series-Parallel Hybrid Humanoid using Whole Body Trajectory Optimization

    In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2023), October 1-5, Detroit, Michigan, USA, IEEE, 10/2023.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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