| 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 | 269* | 2019 |
| Data vs. physics: The apparent Pareto front of physics-informed neural networks FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger IEEE Access 11, 86252-86261, 2023 | 100* | 2023 |
| Greedy part-wise learning of sum-product networks R Peharz, BC Geiger, F Pernkopf Joint European conference on machine learning and knowledge discovery in …, 2013 | 93 | 2013 |
| 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 | 92 | 2021 |
| Relative information loss in the PCA BC Geiger, G Kubin 2012 IEEE information theory workshop, 562-566, 2012 | 84 | 2012 |
| Free space optical technologies DM Forin, G Incerti, GMT Beleffi, ALJ Teixeira, LN Costa, PSDB Andrè, ... Trends in Telecommunications Technologies, 2010 | 73 | 2010 |
| Optimal quantization for distribution synthesis G Böcherer, BC Geiger IEEE Transactions on Information Theory 62 (11), 6162-6172, 2016 | 68 | 2016 |
| 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 | 60* | 2022 |
| 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 | 55* | 2021 |
| A rate-distortion approach to caching R Timo, SS Bidokhti, M Wigger, BC Geiger IEEE transactions on information theory 64 (3), 1957-1976, 2017 | 50 | 2017 |
| 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 | 48 | 2021 |
| Software in the natural world: A computational approach to hierarchical emergence FE Rosas, BC Geiger, AI Luppi, AK Seth, D Polani, M Gastpar, ... arXiv preprint arXiv:2402.09090, 2024 | 47* | 2024 |
| 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 | 40 | 2022 |
| 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 | 39 | 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 | 39 | 2012 |
| 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 | 38 | 2014 |
| 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 | 36 | 2011 |
| On the information dimension of stochastic processes BC Geiger, T Koch IEEE transactions on information theory 65 (10), 6496-6518, 2019 | 35 | 2019 |
| Lumpings of Markov chains, entropy rate preservation, and higher-order lumpability BC Geiger, C Temmel Journal of Applied Probability 51 (4), 1114-1132, 2014 | 35 | 2014 |
| Synwalk: community detection via random walk modelling C Toth, D Helic, BC Geiger Data Mining and Knowledge Discovery 36 (2), 739-780, 2022 | 33 | 2022 |
Gernot KubinProfessor of Nonlinear Signal Processing, Graz University of TechnologyVerified email at ieee.org
