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Publications

Displaying results 1171 to 1180 of 14517.

  1. Nils M. Kriege; Marion Neumann; Christopher Morris; Kristian Kersting; Petra Mutzel

    A unifying view of explicit and implicit feature maps of graph kernels

    In: Data Mining and Knowledge Discovery, Vol. 33, No. 6, Pages 1505-1547, Springer, 2019.

  2. Laura Antanas; Plinio Moreno; Marion Neumann; Rui Pimentel de Figueiredo; Kristian Kersting; José Santos-Victor; Luc De Raedt

    Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach

    In: Autonomous Robots, Vol. 43, No. 6, Pages 1393-1418, Springer, 2019.

  3. Kristian Kersting; Miryung Kim; Guy Van den Broeck; Thomas Zimmermann

    SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091)

    In: Dagstuhl Reports, Vol. 10, No. 2, Pages 76-87, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2020.

  4. Johannes Czech; Patrick Korus; Kristian Kersting

    Monte-Carlo Graph Search for AlphaZero

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.11045, Pages 0-10, arXiv, 2020.

  5. Christopher Morris; Nils M. Kriege; Franka Bause; Kristian Kersting; Petra Mutzel; Marion Neumann

    TUDataset: A collection of benchmark datasets for learning with graphs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2007.08663, Pages 0-10, arXiv, 2020.

  6. Srijita Das; Sriraam Natarajan; Kaushik Roy; Ronald Parr; Kristian Kersting

    Fitted Q-Learning for Relational Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05595, Pages 0-10, arXiv, 2020.

  7. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2001.05371, Pages 0-10, arXiv, 2020.

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

    Residual Sum-Product Networks

    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 545-556, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  9. Xiaoting Shao; Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Thomas Liebig; Kristian Kersting

    Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

    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 401-412, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  10. Tjitze Rienstra; Matthias Thimm; Kristian Kersting; Xiaoting Shao

    Independence and D-separation in Abstract Argumentation

    In: Diego Calvanese; Esra Erdem; Michael Thielscher (Hrsg.). Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2020), September 12-18, Rhodes, Greece, Pages 713-722, IJCAI Organization, 2020.

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