Research Scientist
Mathematics and Signal Processing in Acoustics
Machine Learning

Tel. +431 51581-2548
Email: guenther.koliander(at)oeaw.ac.at

Scientific IDs:
ORCID: orcid.org/0000-0002-4750-3305
Google Scholar: Günther Koliander

Academic Background


Günther Koliander received the Diploma degree in Technical Mathematics (with distinction) from TU Wien, Austria, in 2011 (Diploma thesis “Hilbert Spaces of Entire Functions in the Hardy Space Setting”). From 2011 to 2017 he was with the Institute of Telecommunications, TU Wien, Austria, where he finished his PhD (with distinction) in the WWTF project NOWIRE in April 2015 (Dissertation "Information-theoretic analysis of noncoherent block-fading channels and singular random variables"). He twice held visiting researcher positions at Chalmers University of Technology, Gothenburg, Sweden.

Since July 2017 he is part of the Acoustics Research Institute's workgroup "Mathematics and Signal Processing in Acoustics", where he works on information-theoretic topics and compressed sensing methods.

Current Research


His main interests include information theory, point processes, and compressed sensing.

Current topics:

  • Rate-Distortion theory for point processes
  • Entropy for integer-dimensional singular random variables
  • Source coding for general sets and measures
  • Lossless analog compression

Publications

Publications

  • N., Holighaus; Koliander, G.; Pruša, Z.; Abreu, L. D. (2019) Characterization of Analytic Wavelet Transforms and a New Phaseless Reconstruction Algorithm. IEEE Transactions on Signal Processing, Bd. 67, S. 3894-3908.
  • Holighaus, N.; Koliander, G.; Pruša, Z.; Abreu, L. D. (2019) Non-iterative phaseless reconstruction from wavelet transform magnitude., Proceedings of the DAFx19.
  • Alberti, G.; Boelcskei, H.; De Lellis, C.; Koliander, G.; Riegler, E. (2019) Lossless analog compression. IEEE Transactions on Information Theory, Bd. 65 (11), S. 7480-7513.
  • Cvitkovic, M.; Koliander, G. (2019) Minimal achievable sufficient statistic learning., Proc. Mach. Learn. Res. (ICML 2019), Bd. 97; Long Beach, CA, USA, S. 1465-1474.
  • Koliander, G.; Abreu, L. D.; Haimi, A.; Romero, J. L. (2019) Filtering the continuous wavelet transform using hyperbolic triangulations., Proc. Int. Conf. Samp. Theory and Appl. (SampTA-19); Bordeaux, France.
  • Koliander, G.; Schuhmacher, D.; Hlawatsch, F. (2018) Rate-Distortion Theory of Finite Point Processes. IEEE Transactions on Information Theory, Bd. 64, S. 5832-5861.
  • Pichler, G.; Koliander, G. (2018) Information Bottleneck on General Alphabets., 2018 IEEE International Symposium on Information Theory (ISIT); Vail, CO, S. 526-530.
  • Riegler, E.; Koliander, G.; Bölcskei, H. (2018) Rate-Distortion Theory for General Sets and Measures., 2018 IEEE International Symposium on Information Theory (ISIT); Vail, CO, S. 101-105.
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