Book Chapters

  • A. Breger, M. Ehler, M. Gräf, T. Peter
    Cubatures on Grassmannians: moments, dimension reduction, and related topics, arXiv:1705.02978
    Compressed Sensing and its Applications: MATHEON Workshop 2015 (Applied and Numerical Harmonic Analysis), 2017

  • A. Breger, M. Ehler and M.Gräf
    Quasi Monte Carlo integration and kernel-based function approximation on Grassmannians, arXiv:1605.09165
    Frames and Other Bases in Abstract and Function Spaces, Applied and Numerical Harmonic Analysis series (ANHA), Birkhauser/Springer, (2017).

Peer-reviewed

  • A. Breger, M. Ehler and M.Gräf
    Points on manifolds with asymptotically optimal covering radius, arxiv:1607.06899
    Journal of Complexity (2018)

  • A. Breger, M. Ehler, H. Bogunovic, S.M. Waldstein, A. Philip, U. Schmidt-Erfurth, B.S. Gerendas
    Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images, Epub
    2017, Eye, Springer Nature.

Preprints

  • A. Breger, J. I. Orlando, P. Harar, M. Doerfler, S. Klimscha, C. Grechenig, B. S. Gerendas, U. Schmidt-Erfurth, and M. Ehler
    On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems (2019), arxiv:1901.07598

Other

  • A. Breger
    On image segmentation and applications in clinical retinal analysis.
    Master's thesis, University of Vienna, 2015. E-Thesis