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Publications

Displaying results 1 to 10 of 62.
  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), …

  2. Michael Lutter; Kim Listmann; Jan Peters

    Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  3. Michael Lutter; Christian Ritter; Jan Peters

    Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

    In: 7th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, …

  4. Khurram Azeem Hashmi; Rakshith Bymana Ponnappa; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information

    In: International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition Workshops (ICDARW), …

  5. Jens Krauth; Stefan Gerlach; Christian Marzahl; Jörn Voigt; Heinz Handels

    Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies

    In: Heinz Handels; Thomas M. Deserno; Andreas Maier; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff (Hrsg.). Bildverarbeitung für die …

  6. Timo Kepp; Jan Ehrhardt; Mattias P. Heinrich; Gereon Hüttmann; Heinz Handels

    Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks

    In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE International Symposium on Biomedical Imaging (ISBI-2019), April …

  7. Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Gereon Hüttmann; Nunciada Salma; Dieter Manstein; Mattias P. Heinrich; Heinz Handels

    Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks

    In: Christoph Hitzenberger (Hrsg.). Biomedical Optics Express, Vol. 10, No. 7, Pages 3484-3496, OSA, 7/2019.

  8. Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

    Logic and Learning (Dagstuhl Seminar 19361)

    In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

  9. Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting

    SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1901.03704, Pages 0-10, arXiv, 2019.