Bernhard C. Geiger

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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
Franz M. RohrhoferResearch Scientist at Know-Center GmbHVerified email at know-center.at
Roman KernKnow Center, Graz University of TechnologyVerified email at know-center.at
Erich LeitgebTU GrazVerified email at tugraz.at
Andreas B. OfnerResearcher, Know Center Research GmbHVerified email at know-center.at
Christian VogelHead Institute Electronic Engineering, FH JOANNEUM - University of Applied SciencesVerified email at fh-joanneum.at
Johannes G. HofferResearcher, voestalpine BÖHLER Aerospace GmbH & Co KGVerified email at voestalpine.com
Achilles KefalasGraz University of TechnologyVerified email at ivt.tugraz.at
Klaus WitrisalProfessor, Graz University of TechnologyVerified email at tugraz.at
Georg BöchererHuawei TechnologiesVerified email at ieee.org
Derek GroenReader, Brunel University London. Visiting Lecturer, UCLVerified email at brunel.ac.uk
Marek ŚmiejaJagiellonian UniversityVerified email at ii.uj.edu.pl
Denis HelicGraz University of TechnologyVerified email at tugraz.at
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
Diana SuleimenovaLecturer in Computer Science, Brunel University LondonVerified email at brunel.ac.uk

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	231*	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	91	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	66	2010
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	61	2021
On the apparent Pareto front of physics-informed neural networks FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger IEEE Access, 2023	60*	2023
Optimal quantization for distribution synthesis G Böcherer, BC Geiger IEEE Transactions on Information Theory 62 (11), 6162-6172, 2016	59	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	47*	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	40*	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	35	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	32	2014
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
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	28	2021
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	28	2019
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
Signal enhancement as minimization of relevant information loss BC Geiger, G Kubin SCC 2013; 9th International ITG Conference on Systems, Communication and …, 2013	25	2013
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	24	2022
On the information dimension of stochastic processes BC Geiger, T Koch IEEE transactions on information theory 65 (10), 6496-6518, 2019	23	2019

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