Dr. Christoph Brauer (Lehrbeauftragter)

Dr. Christoph Brauer

Contact Details

christoph brauer image

Address:                         TU Braunschweig
                                         IAA
                                         Universitätsplatz 2
                                         38106 Braunschweig

Email:                              ch.brauer(at)tu-bs.de

LinkedIn:                        christoph-brauer-29b05214b

Twitter:                           @gusgustav85

Office Hours:                 by arrangement

 

I am a postdoc at TU Braunschweig and DLR. My research interests include mathematical optimization, machine learning, image and signal processing.

Publications

  • Learning to dequantize speech signals by primal-dual networks: An approach for acoustic sensor networks
    With Ziyue Zhao, Dirk Lorenz and Tim Fingscheidt. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7000-7004. DOI: 10.1109/ICASSP.2019.8683341
  • Complexity and Applications of the Homotopy Principle for Uniformly Constrained Sparse Minimization
    With Dirk A. Lorenz. Applied Mathematics and Optimization, 2019. DOI: 10.1007/s00245-019-09565-2 (Full-text)
  • A Primal-Dual Homotopy Algorithm for ℓ1-Minimization with ℓ∞-Constraints
    With Dirk A. Lorenz and Andreas M. Tillmann. Computational Optimization and Applications, 2018. DOI: 10.1007/s10589-018-9983-4 (Full-text)
  • Rank-Optimal Weighting or "How to be Best in the OECD Better Life Index?"
    With Dirk A. Lorenz and Jan Lorenz. Social Indicators Research, 2016, pp. 1-18. DOI: 10.1007/s11205-016-1416-0
  • Sparse reconstruction of quantized speech signals
    With Dirk A. Lorenz and Timo Gerkmann. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5940-5944. DOI: 10.1109/ICASSP.2016.7472817
  • Cartoon-Texture-Noise Decomposition with Transport Norms
    With Dirk A. Lorenz. Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings, pp. 142-153. DOI: 10.1007/978-3-319-18461-6_12

PhD thesis

  • Homotopy Methods for Linear Optimization Problems with Sparsity Penalty and Applications
    Universitätsbibliothek Braunschweig, April 2018. DOI: 10.24355/dbbs.084-201804250929-0

Preprints

  • A Sinkhorn-Newton method for entropic optimal transport
    With Christian Clason, Dirk Lorenz and Benedikt Wirth. arXiv:1710.06635
  • Primal-dual residual networks
    With Dirk Lorenz. arXiv:1806.05823

GitHub

  • ℓ1-Houdini
    Matlab code related to the papers A Primal-Dual Homotopy Algorithm for ℓ1-Minimization with ℓ∞-Constraints and Complexity and Applications of the Homotopy Principle for Uniformly Constrained Sparse Minimization
  • Primal-dual networks
    Python and TensorFlow code related to the paper Learning to dequantize speech signals by primal-dual networks: An approach for acoustic sensor networks

Conferences

Teaching

  • Winter 2020/21
    Maschinelles Lernen mit neuronalen Netzen
    Fortgeschrittenenpraktikum Data Science
  • Winter 2019/20
    Maschinelles Lernen mit neuronalen Netzen
    Fortgeschrittenenpraktikum Data Science
  • Summer 2019
    Bachelor-Seminar Angewandte Mathematik
    Master-Seminar Angewandte Mathematik
  • Winter 2018/19
    Maschinelles Lernen mit neuronalen Netzen