Research Scientist
Head of Mathematics Cluster
Head of Information and Inference
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 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
Projects
Publications
Publications
- Hauser, D.; Beckmann, M.; Koliander, G.; Stiehl, H.S. (2024) On Image Processing and Pattern Recognition for Thermograms of Watermarks in Manuscripts - A First Proof-of-Concept., Proceedings of the International Conference on Document Analysis and Recognition (ICDAR 2024); Athens.
- Bucco, T. J.; Koliander, G.; Kreidl, B.; Hlawatsch, F. (2024) Online Learning of Model Parameters and Object Classes in Extended Multiobject Tracking., Proceedings of the 27th International Conference on Information Fusion (27th International Conference on Information Fusion); Venice, I.
- Escudero, L. A.; Feldheim, N.; Koliander, G.; Romero, J. L. (2024, online: 2022) Efficient computation of the zeros of the Bargmann transform under additive white noise. Foundations of Computational Mathematics, Bd. 24, S. 279-312.
- Holighaus, N.; Koliander, G. (2023) Rotated time-frequency lattices are sets of stable sampling for continuous wavelet systems., 14th International Conference on Sampling Theory and Applications (SAMPTA 2023); Yale.
- Riegler, E.; Koliander, G.; Bölcskei, H. (2023) Lossy Compression of General Random Variables. Information and Inference: A Journal of the IMA, Bd. 12/3, S. 1759-1829.
- 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.
- Pichler, G.; Colombo, P. J. A.; Boudiaf, M.; Koliander, G.; Piantanida, P. (2022) A Differential Entropy Estimator for Training Neural Networks., Proceedings of the 39 th International Conference on Machine Learning (ICML 2022) In Reihe: Proceedings of Machine Learning Research (PMLR) 162; Baltimore, S. 17691-17715.
- 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, Bd. 6, S. 1009-1024.
- (2020) Gutachten für EUSIPCO_09_20.
- 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.
- 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.
- 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.
- Holighaus, N.; Koliander, G.; Pruša, Z.; Abreu, L. D. (2019) Non-iterative phaseless reconstruction from wavelet transform magnitude., Proceedings of the DAFx19.
- 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.
- 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.
- Pichler, G.; Koliander, G. (2018) Information Bottleneck on General Alphabets., 2018 IEEE International Symposium on Information Theory (ISIT); Vail, CO, S. 526-530.
- Koliander, G.; Schuhmacher, D.; Hlawatsch, F. (2018) Rate-Distortion Theory of Finite Point Processes. IEEE Transactions on Information Theory, Bd. 64, S. 5832-5861.