| Trainable communication systems: Concepts and prototype S Cammerer, FA Aoudia, S Dörner, M Stark, J Hoydis, S Ten Brink IEEE Transactions on Communications 68 (9), 5489-5503, 2020 | 172 | 2020 |
| Joint learning of geometric and probabilistic constellation shaping M Stark, FA Aoudia, J Hoydis 2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019 | 91 | 2019 |
| Decoding rate-compatible 5G-LDPC codes with coarse quantization using the information bottleneck method M Stark, L Wang, G Bauch, RD Wesel IEEE Open Journal of the Communications Society 1, 646-660, 2020 | 35 | 2020 |
| Information bottleneck graphs for receiver design J Lewandowsky, M Stark, G Bauch 2016 IEEE International Symposium on Information Theory (ISIT), 2888-2892, 2016 | 34 | 2016 |
| Polar code construction using the information bottleneck method M Stark, A Shah, G Bauch 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2018 | 24 | 2018 |
| Information-optimum LDPC decoders with message alignment for irregular codes M Stark, J Lewandowsky, G Bauch 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 23 | 2018 |
| Optimum message mapping LDPC decoders derived from the sum-product algorithm J Lewandowsky, M Stark, G Bauch 2016 IEEE International Conference on Communications (ICC), 1-6, 2016 | 21 | 2016 |
| Information-bottleneck decoding of high-rate irregular LDPC codes for optical communication using message alignment M Stark, J Lewandowsky, G Bauch Applied Sciences 8 (10), 1884, 2018 | 19 | 2018 |
| Information bottleneck decoding of rate-compatible 5G-LDPC codes M Stark, G Bauch, L Wang, RD Wesel ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 17 | 2020 |
| Coarsely quantized decoding and construction of polar codes using the information bottleneck method SAA Shah, M Stark, G Bauch Algorithms 12 (9), 192, 2019 | 17 | 2019 |
| Message alignment for discrete LDPC decoders with quadrature amplitude modulation J Lewandowsky, M Stark, G Bauch 2017 IEEE International Symposium on Information Theory (ISIT), 2925-2929, 2017 | 17 | 2017 |
| A reconstruction-computation-quantization (RCQ) approach to node operations in LDPC decoding L Wang, RD Wesel, M Stark, G Bauch GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 15 | 2020 |
| Reconstruction-computation-quantization (RCQ): A paradigm for low bit width LDPC decoding L Wang, C Terrill, M Stark, Z Li, S Chen, C Hulse, C Kuo, RD Wesel, ... IEEE transactions on communications 70 (4), 2213-2226, 2022 | 14 | 2022 |
| Decoding of non-binary LDPC codes using the information bottleneck method M Stark, G Bauch, J Lewandowsky, S Saha ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 14 | 2019 |
| Design of quantized decoders for polar codes using the information bottleneck method SAA Shah, M Stark, G Bauch SCC 2019; 12th International ITG Conference on Systems, Communications and …, 2019 | 14 | 2019 |
| Information-optimum discrete signal processing for detection and decoding-invited paper G Bauch, J Lewandowsky, M Stark, P Oppermann 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-6, 2018 | 14 | 2018 |
| Distributed compression using the information bottleneck principle S Steiner, V Kuehn ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 10 | 2021 |
| Discrete channel estimation by integer passing in information bottleneck graphs J Lewandowsky, M Stark, R Mendrzik, G Bauch SCC 2017; 11th International ITG Conference on Systems, Communications and …, 2017 | 10 | 2017 |
| Machine learning for reliable communication under coarse quantization M Stark | 9 | 2021 |
| Iterative message alignment for quantized message passing between distributed sensor nodes M Stark, J Lewandowsky, G Bauch 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, 2018 | 9 | 2018 |
