Preprints 2019

  • Nr. 65 Monotonicity of escape probabilities for branching random walks on Zd
    A. Tzioufas
    [Download PDFpdf button][arxiv.org]
  • Nr. 64 Sparse regularization of inverse problems by operator-dapted frame thresholding
    J. Frikel, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 63 Projection-Based 2.5D U-net architecture for fast volumetric segmentation
    C. Angermann, M. Haltmeier, R. Steiger, S. Pereverzyev Jr., E. Gizewski
    [Download PDFpdf button][arxiv.org]
  • Nr. 62 Explicit inversion formulas for the two-dimensional wave equation from Neuman Traces
    F. Dreier, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 61 Analysis of the block coordinate descent method for linear Ill-Posed problems
    S. Rabanser, L. Neumann, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 60 Sparse synthesis regularization with deep neural networks
    D. Obmann, J. Schwab, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 59 Projection-Based 2.5D U-net architecture for fast volumetric segmentation
    C. Angermann, M. Haltmeier, R. Steiger, S. Pereverzyev Jr., E. Gizewski
    [Download PDFpdf button][arxiv.org]
  • Nr. 58 NETT regularization for compressed sensing photoacoustic tomography
    S. Antholzer, J. Schwab, J.Bauer-Marschallinger, P. Burgholzer, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 57 Deep learning versus l 1 -minimization for compressed sensing photoacoustic tomography
    S. Antholzer, J. Schwab, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 56 Photoacoustic tomography with direction dependent data: An exact series reconstruction approach
    G. Zangerl, S. Moon, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 55 Big in Japan: Regularizing networks for solving inverse problems
    J. Schwab, S. Antholzer, M. Haltmeier
    [Download PDFpdf button][arxiv.org]