Skip to main content Skip to main navigation

Publications

Displaying results 91 to 100 of 13750.

  1. Jingyuan Sha; Hikaru Shindo; Kristian Kersting; Devendra Singh Dhami

    Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes

    In: Artur S. d'Avila Garcez; Tarek R. Besold; Marco Gori; Ernesto Jiménez-Ruiz (Hrsg.). Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning. International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), July 3-5, Italy, Pages 103-117, CEUR Workshop Proceedings, Vol. 3432, CEUR-WS.org, 2023.

  2. 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.

  3. 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.

  4. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Declarative Learning-Based Programming as an Interface to AI Systems

    In: Frontiers in Artificial Intelligence, Vol. 5, Pages 0-10, Frontiers, 2022.

  5. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

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

    Causal Parrots: Large Language Models May Talk Causality But Are Not Causal

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13067, Pages 0-10, arXiv, 2023.

  7. Elmar Rueckert; Max Mindt; Jan Peters; Gerhard Neumann

    Robust policy updates for stochastic optimal control

    In: 14th IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2014), November 18-20, Madrid, Spain, Pages 388-393, IEEE, 2014.

  8. Herke van Hoof; Oliver Kroemer; Jan Peters

    Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments

    In: IEEE Transactions on Robotics (T-RO), Vol. 30, No. 5, Pages 1198-1209, IEEE, 2014.

  9. Daan Wierstra; Tom Schaul; Tobias Glasmachers; Yi Sun; Jan Peters; Jürgen Schmidhuber

    Natural evolution strategies

    In: Journal of Machine Learning Research, Vol. 15, No. 1, Pages 949-980, JMLR, 2014.

  10. Christoph Dann; Gerhard Neumann; Jan Peters

    Policy evaluation with temporal differences: a survey and comparison

    In: Journal of Machine Learning Research, Vol. 15, No. 1, Pages 809-883, JMLR, 2014.

Year

More options