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Publications

Displaying results 81 to 90 of 599.
  1. Improving personal health mention detection on twitter using permutation based word representation learning

    In: ICONIP 2020: Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2020), November 18-22, Pages 776-785, Lecture Notes in Computer Science (LNCS), Vol. 12532, Springer, Cham, 11/2020.

  2. Implementation of an USRP-based software-defined radio platform for designing and evaluating artificial intelligent wireless transmission algorithms

    Mastersthesis, Institute for Internal Combustion Engines and Automotive Engineering of University of Stuttgart, 2020.

  3. Tewodros Amberbir Habtegebrial; Varun Jampani; Orazio Gallo; Didier Stricker

    Generative View Synthesis: From Single-view Semantics to Novel-view Images

    In: H. Larochelle; M. Ranzato; R. Hadsell; M.F. Balcan; H. Lin (Hrsg.). Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Neural Information Processing Systems (NeurIPS-2020), December 6-12, Neural Information Processing Systems, 12/2020.

  4. Payam Habiby; Sebastian Huhn; Rolf Drechsler

    Power-aware Test Scheduling for IEEE 1687 Networks with Multiple Power Domains

    In: 33rd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2020. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT-2020), ISBN 978-1-7281-9457-8, IEEE, 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.