| Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs L Schmid, L Schmalen IEEE Transactions on Communications, 2022 | 9 | 2022 |
| Neural Enhancement of Factor Graph-based Symbol Detection L Schmid, L Schmalen 2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 2022 | 4 | 2022 |
| Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation S Chimmalgi, A Rode, L Schmid, L Schmalen arXiv preprint arXiv:2307.03517, 2023 | 1 | 2023 |
| Structural optimization of factor graphs for symbol detection via continuous clustering and machine learning L Rapp, L Schmid, A Rode, L Schmalen ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Fast and Robust Expectation Propagation MIMO Detection via Preconditioned Conjugated Gradient L Schmid, D Sulz, L Schmalen arXiv preprint arXiv:2404.15968, 2024 | | 2024 |
| Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs L Schmid, T Raviv, N Shlezinger, L Schmalen arXiv preprint arXiv:2401.12627, 2024 | | 2024 |
| Local message passing on frustrated systems L Schmid, J Brenk, L Schmalen Uncertainty in Artificial Intelligence, 1837-1846, 2023 | | 2023 |
