Bernhard C. Geiger

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Citations	1786	1174
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Gernot KubinProfessor of Nonlinear Signal Processing, Graz University of TechnologyVerified email at ieee.org
Rana Ali AmjadApplied (Research) Scientist at AmazonVerified email at amazon.com
Stefan PoschSenior Scientist LEC GmbHVerified email at lec.tugraz.at
Roman KernKnow Center, Graz University of TechnologyVerified email at know-center.at
Franz M. RohrhoferResearch Scientist at Know-Center GmbHVerified email at know-center.at
Erich LeitgebTU GrazVerified email at tugraz.at
Andreas B. OfnerResearcher, Know Center Research GmbHVerified email at know-center.at
Johannes G. HofferResearcher, voestalpine BÖHLER Aerospace GmbH & Co KGVerified email at voestalpine.com
Christian VogelHead Institute Electronic Engineering, FH JOANNEUM - University of Applied SciencesVerified email at fh-joanneum.at
Achilles KefalasGraz University of TechnologyVerified email at ivt.tugraz.at
Klaus WitrisalProfessor, Graz University of TechnologyVerified email at tugraz.at
Derek GroenReader, Brunel University London. Visiting Lecturer, UCLVerified email at brunel.ac.uk
Georg BöchererHuawei TechnologiesVerified email at ieee.org
Marek ŚmiejaJagiellonian UniversityVerified email at ii.uj.edu.pl
Denis HelicGraz University of TechnologyVerified email at tugraz.at
Diana SuleimenovaLecturer in Computer Science, Brunel University LondonVerified email at brunel.ac.uk
Mario LovrićInAntro | COPSAC | Lisbon CouncilVerified email at inantro.hr
Antonio TeixeiraProfessor, DETI, IT, universidade aveiro, portugalVerified email at ua.pt
Paulo AndréIST - Lisbon University (Instituto de Telecomunicações and Department Department of Electrical andVerified email at lx.it.pt
Stefan SchrunnerFH Kärnten (Carinthia University of Applied Sciences)Verified email at fh-kaernten.at

Bernhard C. Geiger

Research Area Manager at Know-Center GmbH

Verified email at ieee.org - Homepage

Information Theory Machine Learning Stochastic Processes


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning representations for neural network-based classification using the information bottleneck principle RA Amjad, BC Geiger IEEE transactions on pattern analysis and machine intelligence 42 (9), 2225-2239, 2019	238*	2019
Greedy part-wise learning of sum-product networks R Peharz, BC Geiger, F Pernkopf Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013	92	2013
Relative information loss in the PCA BC Geiger, G Kubin 2012 IEEE information theory workshop, 562-566, 2012	80	2012
Free space optical technologies DM Forin, G Incerti, GMT Beleffi, ALJ Teixeira, LN Costa, PSDB Andrè, ... Trends in Telecommunications Technologies, 2010	67	2010
On the apparent Pareto front of physics-informed neural networks FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger IEEE Access, 2023	66*	2023
On information plane analyses of neural network classifiers—A review BC Geiger IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7039-7051, 2021	66	2021
Optimal quantization for distribution synthesis G Böcherer, BC Geiger IEEE Transactions on Information Theory 62 (11), 6162-6172, 2016	60	2016
A rate-distortion approach to caching R Timo, SS Bidokhti, M Wigger, BC Geiger IEEE transactions on information theory 64 (3), 1957-1976, 2017	49	2017
Understanding neural networks and individual neuron importance via information-ordered cumulative ablation RA Amjad, K Liu, BC Geiger IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7842-7852, 2021	48*	2021
On the role of fixed points of dynamical systems in training physics-informed neural networks FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger arXiv preprint arXiv:2203.13648, 2022	41*	2022
Comparison between ratio detection and threshold comparison for GNSS acquisition BC Geiger, C Vogel, M Soudan IEEE transactions on aerospace and electronic systems 48 (2), 1772-1779, 2012	38	2012
Comparison of link selection algorithms for free space optics/radio frequency hybrid network F Nadeem, B Geiger, E Leitgeb, SS Muhammad, M Loeschnig, G Kandus IET communications 5 (18), 2751-2759, 2011	37	2011
Optimal kullback–leibler aggregation via information bottleneck BC Geiger, T Petrov, G Kubin, H Koeppl IEEE Transactions on Automatic Control 60 (4), 1010-1022, 2014	33	2014
Mesh-free surrogate models for structural mechanic FEM simulation: A comparative study of approaches JG Hoffer, BC Geiger, P Ofner, R Kern Applied Sciences 11 (20), 9411, 2021	31	2021
Lumpings of Markov chains, entropy rate preservation, and higher-order lumpability BC Geiger, C Temmel Journal of Applied Probability 51 (4), 1114-1132, 2014	31	2014
Feature extraction from analog wafermaps: A comparison of classical image processing and a deep generative model T Santos, S Schrunner, BC Geiger, O Pfeiler, A Zernig, A Kaestner, R Kern IEEE Transactions on Semiconductor Manufacturing 32 (2), 190-198, 2019	29	2019
Theory-inspired machine learning—towards a synergy between knowledge and data JG Hoffer, AB Ofner, FM Rohrhofer, M Lovrić, R Kern, S Lindstaedt, ... Welding in the World 66 (7), 1291-1304, 2022	27	2022
Generating simple directed social network graphs for information spreading C Schweimer, C Gfrerer, F Lugstein, D Pape, JA Velimsky, R Elsässer, ... Proceedings of the ACM Web Conference 2022, 1475-1485, 2022	26	2022
Signal enhancement as minimization of relevant information loss BC Geiger, G Kubin SCC 2013; 9th International ITG Conference on Systems, Communication and …, 2013	26	2013
SeGMA: Semi-supervised Gaussian mixture autoencoder M Śmieja, M Wołczyk, J Tabor, BC Geiger IEEE transactions on neural networks and learning systems 32 (9), 3930-3941, 2020	25	2020

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