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Publications

Displaying results 351 to 360 of 672.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Alan Le Goallec; Samuel Diai; Sasha Collin; Jean-Baptiste Prost; Théo Vincent; Chirag J Patel

    Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

    In: Nature Communications, Vol. 13, No. 1, Pages 1979-1979, Nature Publishing Group UK London, 2022.

  7. Andreas Dengel

    Künstliche Intelligenz und Deep-Learning in der Medizin

    In: Ärzteblatt Rheinland-Pfalz, Vol. 05/23, Pages 21-22, Quintessenz Verlags-GmbH, 2023.

  8. Maria Luschkova; Christian Schorr; Tim Dahmen

    Synthetic Training Data Generation for Deep Learning-Based Billet Detection in Rolling Mills

    In: Proceedings of the International Conference on NDE 4.0. International Conference on NDE 4.0 (NDE 4.0), October 24-27, Berlin, Germany, DGzfP, 2022.

  9. Lorenz Hufe; Eleftherios Avramidis

    Experimental Machine Translation of the Swiss German Sign Language via 3D Augmentation of Body Keypoints

    In: Proceedings of the Seventh Conference on Machine Translation. Conference on Machine Translation (WMT-22), December 7-8, Abu Dhabi, United Arab Emirates, Pages 983-988, Association for Computational Linguistics, 12/2022.

  10. Ho Minh Duy Nguyen; Hoang Nguyen; Mai T. N. Truong; Tri Cao; Binh T. Nguyen; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag

    Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

    In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2023). AAAI Conference on Artificial Intelligence (AAAI), February 7-14, Washington, DC, USA, AAAI Press, 2/2023.

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