Group Leader and Research Scientist
Mathematics and Signal Processing in Acoustics
Machine Learning

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

Scientific IDs:
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 and once at Georg August Universität Göttingen, Göttingen, Deutschland.

Since July 2017 he is part of the Acoustics Research Institute's cluster "Mathematics and Signal Processing in Acoustics", with a short leave for the University of Vienna, Faculty of Mathematics from July to December 2021.

Current Research

Günther Koliander is one of the co-principal investigators of the project "Digitization, Recognition and Automated Clustering of Watermarks in the Music Manuscripts of Franz Schubert" and works also in the project "Time-Frequency Analysis, Randomness and Sampling."

Current topics:

  • Information Theory
  • Machine Learning
  • Compressed Sensing
  • Point Processes
  • Time-frequency and Time-scale Analysis



  • Holighaus, N.; Koliander, G.; Hollomey, C.; Pillichshammer, F. (2023) Grid-Based Decimation for Wavelet Transforms With Stably Invertible Implementation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Bd. 31, S. 789-801.
  • Hollomey, C.; Holighaus, N.; Koliander, G. (2022) Grid-like wavelet sampling for audio processing applications., Proceedings: A16, Numerical, Computational and Theoretical Acoustics, ICA 2022 (24th International Congress on Acoustics); Gyeongju, S. 208-214.
  • Riegler, E.; Koliander, G.; Bölcskei, H. (2022) Lossy Compression of General Random Variables. Information and Inference: A Journal of the IMA.
  • Escudero, L. A.; Feldheim, N.; Koliander, G.; Romero, J. L. (2022) Efficient computation of the zeros of the Bargmann transform under additive white noise. Foundations of Computational Mathematics.
  • Haimi, A.; Koliander, G.; Romero, J.L. (2022) Zeros of Gaussian Weyl-Heisenberg Functions and Hyperuniformity of Charge. Journal of Statistical Physics, Bd. 187/3, S. Paper Nr. 22.
  • Koliander, G.; El-Laham, Y.; Djurić, P.M.; Hlawatsch, F. (2022) Fusion of Probability Density Functions. Proceedings of the IEEE, Bd. 110/4, S. 404-453.
  • Koliander, G.,; Pichler, G. (2021) Modelling the Utility of Group Testing for Public Health Surveillance. Infectious Disease Modelling.
  • Koliander, G.,; Pichler, G. (2020) Modelling the Utility of Group Testing for Public Health Surveillance. Biometrika.
  • 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, 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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