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Year: 2020
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Displaying results 1 to 10 of 599.

  1. Florian Mohr; Pascal Rübel; Martin Ruskowski

    A holistic approach for value-added interaction modelling in flexible manufacturing systems

    In: Procedia Manufacturing, Vol. 51, Pages 1245-1250, ELSEVIER, 2020.

  2. Fabian Maas genannt Bermpohl; Andreas Bresser

    Towards Autonomous Intralogistics: A Testbed Environment for the Coordination of a Robotic Fleet

    In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS)---Workshop on Planning and Robotics (PlanRob). International Conference on Automated Planning and Scheduling (ICAPS-2020), October 20, Online, ICAPS, 10/2020.

  3. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    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 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  4. Andrea Galassi; Kristian Kersting; Marco Lippi; Xiaoting Shao; Paolo Torroni

    Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

    In: Frontiers in Big Data, Vol. 2 - 2019, Pages 0-10, Frontiers, 1/2020.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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