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Publications

Displaying results 331 to 340 of 678.

  1. David Harbecke; Robert Schwarzenberg; Christoph Alt

    Learning Explanations From Language Data

    In: The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the First Workshop. Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), located at EMNLP 2018, November 1, Brussels, Belgium, ISBN 978-1-948087-71-1, The Association for Computational Linguistics, 2018.

  2. Jameel Malik; Ahmed Elhayek; Fabrizio Nunnari; Kiran Varanasi; Kiarash Tamaddon; Alexis Heloir; Didier Stricker

    DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

    In: Proceeding of International Conference on 3DVision |. International Conference on 3D Vision (3DVision-2018), September 5-8, Verona, Italy, IEEE Xplore, 10/2018.

  3. Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis; Johannes Rust

    Quality medical data management within an open AI architecture – cancer patients case

    In: Connection Science, Vol. 35, No. 1, Page 2194581, Taylor & Francis, 4/2023.

  4. Dikshant Gupta; Matthias Klusch

    Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving

    In: Intelligent Vehicles. IEEE Intelligent Vehicles Symposium (IV-2023), IEEE, 2023.

  5. Md Abdul Kadir; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

    A User Interface for Explaining Machine Learning Model Explanations

    In: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2023), March 27-31, Sydney, NSW, Australia, Pages 59-63, IUI'23 Companion, Vol. Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, ISBN 9798400701078, Association for Computing Machinery, New York, NY, United States, 3/2023.

  6. Michael Lutter; Boris Belousov; Kim Listmann; Debora Clever; Jan Peters

    HJB optimal feedback control with deep differential value functions and action constraints

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 640-650, Proceedings of Machine Learning Research (PMLR), Vol. 100, PMLR, 2019.

  7. Michael Lutter; Debora Clever; Boris Belousov; Kim Listmann; Jan Peters

    Evaluating the Robustness of HJB Optimal Feedback Control

    In: International Symposium on Robotics. International Symposium on Robotics (ISR-2020), 52th, December 9-10, Pages 1-8, VDE, 2020.

  8. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 27-36, eCAADe, 2021.

  9. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

  10. 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.

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