Skip to main content Skip to main navigation

Publications

Displaying results 2011 to 2020 of 14809.

  1. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Not All Causal Inference is the Same

    In: Transactions on Machine Learning Research (TMLR), Vol. 2023, Pages 1-22, Open Review, 2023.

  2. Siwen Yan; Phillip Odom; Rahul Pasunuri; Kristian Kersting; Sriraam Natarajan

    Learning with privileged and sensitive information: a gradient-boosting approach

    In: Frontiers in Artificial Intelligence, Vol. 6, Pages 1-11, Frontiers, 2023.

  3. Jannis Blüml; Johannes Czech; Kristian Kersting

    AlphaZe(_ast)(_ast): AlphaZero-like baselines for imperfect information games are surprisingly strong

    In: Frontiers in Artificial Intelligence, Vol. 6, Pages 1-18, Frontiers, 2023.

  4. Frieder Uhlig; Lukas Struppek; Dominik Hintersdorf; Thomas Göbel; Harald Baier; Kristian Kersting

    Combining AI and AM - Improving approximate matching through transformer networks

    In: Digital Investigation, Vol. 45, No. Supplement, Pages 1-13, arXiv, 2023.

  5. Nicolas Pfeuffer; Lorenz Baum; Wolfgang Stammer; Benjamin M. Abdel-Karim; Patrick Schramowski; Andreas M. Bucher; Christian Hügel; Gernot Rohde; Kristian Kersting; Oliver Hinz

    Explanatory Interactive Machine Learning

    In: Business & Information Systems Engineering (BISE), Vol. 65, No. 6, Pages 677-701, Springer Nature, 2023.

  6. Jonas Günster; Puze Liu; Jan Peters; Davide Tateo

    Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning

    In: Pulkit Agrawal; Oliver Kroemer; Wolfram Burgard (Hrsg.). Conference on Robot Learning, 6-9 November 2024, Munich, Germany. Conference on Robot Learning (CoRL), Pages 4670-4697, Proceedings of Machine Learning Research, Vol. 270, PMLR, 2024.

  7. Adnan Anwer; Jameel Malik; Khawar Khurshid; Ahmed Elhayek; Ramy Battrawy; Didier Stricker; Syed Sarib Naveed; Muhammad Usman Safder

    Scene flow based deep network for hand reconstruction using depth images

    In: Scientific Reports (Sci Rep), Vol. 15(1), No. Article Number: 32726, Pages 1-24, Springer Nature, Nature Publishing Group, 9/2025.

  8. Julen Urain; Ajay Mandlekar; Yilun Du; Mahi Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

    Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.04380, Pages 1-20, arXiv, 2024.

  9. Christopher E. Mower; Yuhui Wan; Hongzhan Yu; Antoine Grosnit; Jonas Gonzalez-Billandon; Matthieu Zimmer; Jinlong Wang; Xinyu Zhang; Yao Zhao; Anbang Zhai; Puze Liu; Davide Tateo; Cesar Cadena; Marco Hutter; Jan Peters; Guangjian Tian; Yuzheng Zhuang; Kun Shao; Xingyue Quan; Jianye Hao; Jun Wang; Haitham Bou-Ammar

    ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.19741, Pages 1-26, arXiv, 2024.

  10. Luca Lach; Robert Haschke; Davide Tateo; Jan Peters; Helge J. Ritter; Júlia Borràs Sol; Carme Torras

    Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 725-732, IEEE, 2024.

Year

More options