Preprints 2020

  • Nr 74 Recovering the Initial Data of the Wave Equation from Neumann Traces
    F. Dreier, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 73 Deep synthesis regularization of inverse problems
    D. Obman, J. Schwab, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 72 Multi-Scale factorization of the wave equation with application to compressed sensing photoacoustic tomography
    G. Zangerl, M. Haltmeier
    [Download PDFpdf button][arxiv.org]

  • Nr. 71 Regularization of inverse problems by neural networks
    M. Haltmeier, L.V. Nguyen
    [Download PDFpdf button][arxiv.org]

  • Nr. 70 Sparse aNETT for solving inverse problems with deep learning
    D. Obmann, L. Nguyen, J. Schwab, M. Haltmeier
    [Download PDFpdf button ][arxiv.org]
  • Nr. 69 The conical radon transform with vertices on triple lines
    M. Haltmeier, S. Moon
    [Download PDFpdf button ][arxiv.org]
  • Nr. 68 Unsupervised adaptive neural network regularization for accelerated radial cine MRI
    A. Kofler, M. Dewey, T. Schaeffter, C. Kolbitsch, M. Haltmeier
    [Download PDFpdf button ][arxiv.org]
  • Nr. 67 Data-consistent neural networks for solving nonlinear inverse problems
    Y. E. Boink, M. Haltmeier, S. Holman, J. Schwab
    [Download PDFpdf button][arxiv.org]
  • Nr. 66 Neural networks-based regularization for large-scale medical image reconstruction
    A. Kofler, M. Haltmeier, T. Schaeffter, M. Kachelriess, M. Dewey, C. Wald, and C. Kolbitsch
    [Download PDFpdf button][arxiv.org]