Moritz Luca Schmid, M.Sc. Luca Schmid

Moritz Luca Schmid, M.Sc.

  • Hertzstr. 16
    D-76187 Karlsruhe

Current Theses

Theses

Open Theses

Title Supervisor Type
Investigation of Graph Neural Networks (DE) Moritz Luca Schmid MA

Theses In Progress

Title Supervisor Type

There are currently no theses in progress.

Full List of Publications

Journal papers

  1. 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
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Conference papers

  1. 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
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  2. 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 , poster available at https://www.auai.org/uai2023/posters/430.pdf
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  3. 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
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  4. 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
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