Moritz Luca Schmid, M.Sc.
- Research and Education Associate
- group:
Prof. Schmalen
- room:
Campus West Geb. 06.45 - luca schmid ∂does-not-exist.kit edu
- Hertzstr. 16
D-76187 Karlsruhe
Current Theses
Theses
Open Theses
Title | Supervisor | Type |
---|---|---|
Investigation of Graph Neural Networks (DE) | Luca Schmid | MA |
Theses In Progress
Title | Supervisor | Type |
---|---|---|
There are currently no theses in progress. |
Full List of Publications
Journal papers
-
L. Schmid and L. Schmalen, "Low-complexity near-optimum symbol detection based on neural enhancement of factor graphs," IEEE Trans. Commun., vol. 70, no. 11, pp. 7562-7575, Nov. 2022, https://arxiv.org/abs/2203.16417
[ Cite ] [ Available here ] [ Code ]
Conference papers
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S. Chimmalgi, A. Rode, L. Schmid and L. Schmalen, "Approximate maximum a posteriori carrier phase estimator for Wiener phase noise channels using belief propagation," Proc. Eur. Conf. Opt. Commun. (ECOC), Glasgow, UK, Oct. 2023, https://arxiv.org/abs/2307.03517
[ Cite ] -
L. Schmid, J. Brenk and L. Schmalen, "Local message passing on frustrated systems," Proc. Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, Aug. 2023, https://arxiv.org/abs/2306.01494
[ Cite ] [ Presentation ] -
L. Rapp, L. Schmid, A. Rode and L. Schmalen, "Structural optimization of factor graphs for symbol detection via continuous clustering and machine learning," Proc. Int. Conf. Acoustics, Speech, and Signal Process. (ICASSP), Rhodes Island, Greece, Jun. 2023, https://arxiv.org/abs/2211.11406, Poster available at https://sigport.org/sites/default/files/docs/poster_168.pdf
[ Cite ] [ Code ] -
L. Schmid and L. Schmalen, "Neural enhancement of factor graph-based symbol detection," Proc. IEEE Workshop Signal Process. Advances in Wireless Commun. (SPAWC), Oulu, Finland, Jul. 2022, Preprint available at https://arxiv.org/abs/2203.03333
[ Cite ] [ Presentation ]