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Publications

Displaying results 1641 to 1650 of 15198.
  1. Dieter Buchler; Heiko Ott; Jan Peters

    A lightweight robotic arm with pneumatic muscles for robot learning

    In: Danica Kragic; Antonio Bicchi; Alessandro De Luca (Hrsg.). 2016 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2016), May 16-21, Stockholm, Sweden, Pages 4086-4092, IEEE, 2016.

  2. Valerio Modugno; Gerhard Neumann; Elmar Rueckert; Giuseppe Oriolo; Jan Peters; Serena Ivaldi

    Learning soft task priorities for control of redundant robots

    In: Danica Kragic; Antonio Bicchi; Alessandro De Luca (Hrsg.). 2016 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2016), May 16-21, Stockholm, Sweden, Pages 221-226, IEEE, 2016.

  3. Marco Ewerton; Guilherme Maeda; Gerhard Neumann; Viktor Kisner; Gerrit Kollegger; Josef Wiemeyer; Jan Peters

    Movement primitives with multiple phase parameters

    In: Danica Kragic; Antonio Bicchi; Alessandro De Luca (Hrsg.). 2016 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2016), May 16-21, Stockholm, Sweden, Pages 201-206, IEEE, 2016.

  4. Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Anne Romer; Henner Schmidt; Jan Peters

    Stability of Controllers for Gaussian Process Forward Models

    In: Maria-Florina Balcan; Kilian Q. Weinberger (Hrsg.). Proceedings of the 33nd International Conference on Machine Learning. International Conference on Machine Learning (ICML-2016), June 19-24, New York City, NY, USA, Pages 545-554, JMLR Workshop and Conference Proceedings, Vol. 48, JMLR.org, 2016.

  5. Daniel Tanneberg; Alexandros Paraschos; Jan Peters; Elmar Rueckert

    Deep spiking networks for model-based planning in humanoids

    In: 16th IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2016), November 15-17, Cancun, Mexico, Pages 656-661, IEEE, 2016.

  6. Manuel Brack; Patrick Schramowski; Björn Deiseroth; Kristian Kersting

    ILLUME: Rationalizing Vision-Language Models through Human Interactions

    In: Andreas Krause; Emma Brunskill; Kyunghyun Cho; Barbara Engelhardt; Sivan Sabato; Jonathan Scarlett (Hrsg.). International Conference on Machine Learning. International Conference on Machine Learning (ICML-2023), July 23-29, Honolulu, Hawaii, USA, Pages 3021-3037, Proceedings of Machine Learning Research, Vol. 202, PMLR, 2023.

  7. Felix Friedrich; David Steinmann; Kristian Kersting

    One Explanation Does Not Fit XIL

    In: Krystal Maughan; Rosanne Liu; Thomas F. Burns (Hrsg.). The First Tiny Papers Track at ICLR 2023. International Conference on Learning Representations (ICLR-2023), May 1-5, Kigali, Rwanda, OpenReview.net, 2023.

  8. Nandini Ramanan; Phillip Odom; Kristian Kersting; Sriraam Natarajan

    Active Feature Acquisition via Human Interaction in Relational domains

    In: Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD). Joint International Conference on Data Science & Management of Data (CODS-COMAD-23), January 4-7, Mumbai, India, Pages 70-78, ISBN 978-1-4503-9797-1, ACM, New York, NY, United States, 2023.

  9. Katharina Hämmerl; Björn Deiseroth; Patrick Schramowski; Jindrich Libovický; Constantin A. Rothkopf; Alexander Fraser; Kristian Kersting

    Speaking Multiple Languages Affects the Moral Bias of Language Models

    In: Anna Rogers; Jordan L. Boyd-Graber; Naoaki Okazaki (Hrsg.). Findings of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL), Pages 2137-2156, Association for Computational Linguistics, 2023.

  10. Sriraam Natarajan; Kristian Kersting

    Never Ending Reasoning and Learning: Opportunities and Challenges

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Adéle Ribeiro; James Seale Smith; Alexis Bellot; Tyler L. Hayes (Hrsg.). AAAI Bridge Program on Continual Causality. AAAI Conference on Artificial Intelligence (AAAI-2023), February 7-8, Washington, DC, USA, Pages 71-74, Proceedings of Machine Learning Research, Vol. 208, PMLR, 2023.