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Publications

Displaying results 351 to 360 of 681.

  1. Théo Vincent; Boris Belousov; Carlo D'Eramo; Jan Peters (Hrsg.)

    Iterated Deep Q-Network: Efficient Learning of Bellman Iterations for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2023), European Workshop on Reinforcement Learning, 2023.

  2. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. abs/2301.04330, Pages 0-10, IEEE, 2023.

  3. Dinh Nam Pham; Vera Czehmann; Eleftherios Avramidis

    Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions

    In: Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-2023), October 4-6, Bruges, Belgium, ISBN 978-2-87587-088-9. i6doc.com publ. 10/2023.

  4. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

  5. 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.

  6. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Model-Based Uncertainty in Value Functions

    In: Francisco J. R. Ruiz; Jennifer G. Dy; Jan-Willem van de Meent (Hrsg.). International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS), Pages 8029-8052, Proceedings of Machine Learning Research, Vol. 206, PMLR, 2023.

  7. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    P2ExNet: Patch-based Prototype Explanation Network

    In: Neural Information Processing - Proceedings. International Conference on Neural Information Processing (ICONIP-2020), 27th International Conference on Neural Information Processing, November 18-22, Bangkok, Thailand, Pages 318-330, Lecture Notes in Computer Scienece (LNTCS), Vol. 12534, ISBN 978-3-030-63836-8, Springer, 11/2020.

  8. Dominique Mercier; Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    Interpreting Deep Models through the Lens of Data

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2020), July 19-24, Glasgow, United Kingdom, ISBN 978-1-7281-6926-2, IEEE Xplore, 9/2020.

  9. Shoaib Ahmed Siddiqui; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    TSInsight: A local-global attribution framework for interpretability in time-series data

    In: Sensors - Open Access Journal (Sensors), Vol. 21, Pages 1-16, MDPI, 11/2021.

  10. Akansha Bhardwaj; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2017), 24th International Conference on Neural Information Processing, November 14-18, Guangzhou, China, Pages 286-293, Vol. 10635, ISBN 978-3-319-70095-3, Springer, 10/2017.

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