Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence
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Books

2020

  • P. Grohs and G. Kutyniok, eds., Theory of Deep Learning. Cambridge University Press, to appear.

2019

  • H. Boche, G. Caire, R. Calderbank, G. Kutyniok, R. Mathar, and P. Petersen, eds., Compressed Sensing and Its Applications: Third International Matheon Conference 2017. Birkhäuser-Springer, 2019.

2017

  • H. Boche, G. Caire, R. Calderbank, M. März, G. Kutyniok, and R. Mathar, eds., Compressed Sensing and its Applications: Second International Matheon Conference 2015. Birkhäuser-Springer, 2017.

2015

  • H. Boche, R. Calderbank, G. Kutyniok, and J. Vybiral, eds., Compressed Sensing and its Applications: Matheon Workshop 2013. Birkhäuser-Springer, 2015.

2012

  • Y. Eldar and G. Kutyniok, eds., Compressed Sensing: Theory and Applications. Cambridge University Press, 2012.
  • G. Kutyniok and D. Labate, eds., Shearlets: Multiscale Analysis for Multivariate Data. Birkhäuser-Springer, 2012.
  • P.G. Casazza and G. Kutyniok, eds., Finite Frames: Theory and Applications. Birkhäuser-Springer, 2012.

2007

  • G. Kutyniok. Affine density in wavelet analysis. Lecture Notes in Mathematics 1914, Springer-Verlag, Berlin, 2007, 142 + xii pp., ISBN: 978-3-540-72916-7.