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
Roman KernChief Scientific Officer, Know-Center & University of Technology GrazVerified email at know-center.at
Franz M. RohrhoferPhD Researcher at Know-Center GmbHVerified email at know-center.at
Christian VogelHead of Institute of Electronic Engineering, FH JOANNEUM - University of Applied SciencesVerified email at fh-joanneum.at
Andreas B. OfnerResearcher, Know-Center GmbH, Research Center for Data-Driven Business & Big Data AnalyticsVerified email at know-center.at
Klaus WitrisalAssociate Professor, Graz University of TechnologyVerified email at tugraz.at
Johannes G. HofferResearcher, voestalpine BÖHLER Aerospace GmbH & Co KGVerified email at voestalpine.com
Achilles KefalasGraz University of TechnologyVerified email at ivt.tugraz.at
Georg BöchererHuawei TechnologiesVerified email at ieee.org
Marek ŚmiejaJagiellonian UniversityVerified email at ii.uj.edu.pl
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 SchrunnerNorwegian University of Life Sciences (NMBU)Verified email at nmbu.no
Derek GroenReader, Brunel University London. Visiting Lecturer, UCLVerified email at brunel.ac.uk
Tobias KochUniversidad Carlos III de MadridVerified email at ieee.org
Denis HelicFull Prof. of Data Science, Modul University ViennaVerified email at modul.ac.at
Franz PernkopfGraz University of TechnologyVerified email at tugraz.at
Robert PeharzAssistant Professor of AI, TU GrazVerified email at tugraz.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	183*	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	84	2013
Relative information loss in the PCA BC Geiger, G Kubin 2012 IEEE Information Theory Workshop, 562-566, 2012	68	2012
Free space optical technologies DM Forin, G Incerti, GMT Beleffi, ALJ Teixeira, LN Costa, PSDB Andrè, ... Trends in Telecommunications Technologies, 2010	60	2010
Optimal quantization for distribution synthesis G Böcherer, BC Geiger IEEE Transactions on Information Theory 62 (11), 6162-6172, 2016	51	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
On Information Plane Analyses of Neural Network Classifiers--A Review BC Geiger IEEE Transactions on Neural Networks and Learning Systems, 2021	40	2021
On the Apparent Pareto Front of Physics-informed Neural Networks FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger IEEE Access, 2023	38*	2023
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	35*	2021
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	34	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	30	2011
Lumpings of Markov chains, entropy rate preservation, and higher-order lumpability BC Geiger, C Temmel Journal of Applied Probability 51 (4), 1114-1132, 2014	29*	2014
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	29	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	24	2019
Signal enhancement as minimization of relevant information loss BC Geiger, G Kubin SCC 2013; 9th International ITG Conference on Systems, Communication and …, 2013	22	2013
On the detection probability of parallel code phase search algorithms in GPS receivers BC Geiger, M Soudan, C Vogel 21st Annual IEEE International Symposium on Personal, Indoor and Mobile …, 2010	21	2010
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	19*	2022
On the Information Loss in Memoryless Systems: The Multivariate Case BC Geiger, G Kubin International Zurich Seminar on Communications, 32, 2012	19	2012
On the information dimension of stochastic processes BC Geiger, T Koch IEEE transactions on information theory 65 (10), 6496-6518, 2019	18	2019
Influence of Doppler bin width on GPS acquisition probabilities BC Geiger, C Vogel IEEE Transactions on Aerospace and Electronic Systems 49 (4), 2570-2584, 2013	18*	2013

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