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Publikationen

Zeige Ergebnisse 3461 bis 3470 von 14648.

  1. Silvan Mertes; Alexander Heimerl; Tanja Schneeberger; Tobias Baur; Ailin Liu; Linda Becker; Nicolas Rohleder; Patrick Gebhard; Elisabeth André

    Generating personalized behavioral feedback for a virtual job interview training system through adversarial learning

    In: Proceedings of the 23rd International Conference on Artificial Intelligence in Education. International Conference on Artificial Intelligence in Education (AIED-2022), Pages 679-684, ACM, 2022.

  2. Tuan Dam; Georgia Chalvatzaki; Jan Peters; Joni Pajarinen

    Monte-Carlo Robot Path Planning

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 7, No. 4, Pages 11213-11220, IEEE, 2022.

  3. Snehal Jauhri; Jan Peters; Georgia Chalvatzaki

    Robot Learning of Mobile Manipulation With Reachability Behavior Priors

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 7, No. 3, Pages 8399-8406, IEEE, 2022.

  4. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1532-1542, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  5. Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters

    Learn2assemble with structured representations and search for robotic architectural construction

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1401-1411, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  6. Ivana Kruijff; Thomas Barz; Alexander Berrang; Marius Beul; Kevin Daun; Floris Ernst; Frank Friede; Philipp Gorczak; Stefan Grobelny; Nils Heidemann; Constantin Houy; Artur Leinweber; Alexander Lel; Alexander Miller; Jan Quenzel; Stefan Rilling; Gerhard Senkowski; Daniel Schleich; Marius Schnaubelt; Dominik Slomma; Stefan Soltau; Jani Tiemann; Marc Thurow; Brian Willems; Christian Willms; Sven Behnke; Ralf Bruder; Robert Grafe; Christof Röhrig; Hartmut Surmann; Oskar von Stryk; Christian Wietfeld; Dirk Aschenbrenner

    Smart Robots to the Rescue: Intelligent Robotics-Assisted Disaster Response at the German Rescue Robotics Center (robot exhibition)

    In: 29th International Joint Conference on Artificial Intelligence (IJCAI) and the 17th Pacific Rim International Conference on Artificial Intelligence (PRICAI). International Joint Conference on Artificial Intelligence (IJCAI-2020), Accepted Robot Exhibition, January 7-15, Yokohama, Japan, Online-Conference, 1/2021.

  7. Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations

    In: IEEE Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June 19-25, Pages 3619-3629, Computer Vision Foundation / IEEE, 2021.

  8. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    The Causal Loss: Driving Correlation to Imply Causation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12066, Pages 0-10, arXiv, 2021.

  9. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    On the Tractability of Neural Causal Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12052, Pages 0-10, arXiv, 2021.

  10. Xiaoting Shao; Arseny Skryagin; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions

    In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Conference on Artificial Intelligence (AAAI-2021), Pages 9533-9540, AAAI Press, 2021.

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