Measurement Based Evaluation of Interference Alignment on the Vienna MIMO Testbed. - Martin Mayer; Gerald Artner; Gabor Hannak; Martin Lerch; Maxime Guillaud (ISWCS, 2013)

On the information-theoretic limits of graphical model selection for Gaussian time series. - Gabor Hannak; Alexander Jung; Norbert Goertz (EUSIPCO, 2014)

On the convergence of average consensus with generalized metropolis-hasting weights. - Valentin Schwarz; Gabor Hannak; Gerald Matz (ICASSP, 2014)

Joint channel estimation and activity detection for multiuser communication systems. - Gabor Hannak; Martin Mayer; Alexander Jung; Gerald Matz; Norbert Goertz (ICC Workshops, 2015)

An Approach to Complex Bayesian-optimal Approximate Message Passing. - Gabor Hannak; Martin Mayer; Gerald Matz; Norbert Goertz (CoRR, 2015)

Graphical LASSO based Model Selection for Time Series. - Alexander Jung; Gabor Hannak; Norbert Goertz (IEEE Signal Process. Lett., 2015)

Efficient graph signal recovery over big networks. - Gabor Hannak; Peter Berger; Gerald Matz; Alexander Jung (ACSSC, 2016)

Generalized approximate message passing for one-bit compressed sensing with AWGN. - Osman Musa; Gabor Hannak; Norbert Goertz (GlobalSIP, 2016)

Bayesian QAM demodulation and activity detection for multiuser communication systems. - Gabor Hannak; Martin Mayer; Gerald Matz; Norbert Goertz (ICC Workshops, 2016)

Scalable graph signal recovery for big data over networks. - Alexander Jung; Peter Berger; Gabor Hannak; Gerald Matz (SPAWC, 2016)

Exploiting joint sparsity in compressed sensing-based RFID. - Martin Mayer; Gabor Hannak; Norbert Goertz (EURASIP J. Embed. Syst., 2016)

Efficient recovery from noisy quantized compressed sensing using generalized approximate message passing. - Osman Musa; Gabor Hannak; Norbert Goertz (CAMSAP, 2017)

Coordinate descent accelerations for signal recovery on scale-free graphs based on total variation minimization. - Peter Berger; Gabor Hannak; Gerald Matz (EUSIPCO, 2017)

Fast Bayesian Signal Recovery in Compressed Sensing with Partially Unknown Discrete Prior. - Norbert Goertz; Gabor Hannak (WSA, 2017)

Graph Signal Recovery via Primal-Dual Algorithms for Total Variation Minimization. - Peter Berger; Gabor Hannak; Gerald Matz (IEEE J. Sel. Top. Signal Process., 2017)

Graph Learning Based on Total Variation Minimization. - Peter Berger; Manfred Buchacher; Gabor Hannak; Gerald Matz (ICASSP, 2018)

Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. - Gabor Hannak; Alessandro Perelli; Norbert Goertz; Gerald Matz; Mike E. Davies 001 (IEEE J. Sel. Top. Signal Process., 2018)

Semi-supervised Multiclass Clustering Based on Signed Total Variation. - Peter Berger; Thomas Dittrich 001; Gabor Hannak; Gerald Matz (ICASSP, 2019)

Efficient Graph Learning From Noisy and Incomplete Data. - Peter Berger; Gabor Hannak; Gerald Matz (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Bilateral-Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data. - Gabor Hannak; Gábor Horváth 002; Attila Kádár; Márk Dániel Szalai (Stat. Anal. Data Min., 2023)