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

There are currently no open theses.

Theses In Progress

Title Supervisor Type
Design of Quasi-Cyclic LDPC Codes for Unsourced Multiple-Access Jonathan Mandelbaum, Moritz Luca Schmid MA

Full List of Publications

Journal papers

  1. L. Schmid, T. Raviv, N. Shlezinger and L. Schmalen, "Blind channel estimation and joint symbol detection with data-driven factor graphs," IEEE Trans. Commun., 2025, https://arxiv.org/abs/2401.12627
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  2. 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

  1. L. Schmid, D. Sulz and L. Schmalen, "Fast and robust expectation propagation MIMO detection via preconditioned conjugated gradient," Proc. Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, USA, Oct. 2024, https://arxiv.org/abs/2404.15968
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  2. L. Schmid, T. Raviv, N. Shlezinger and L. Schmalen, "Optimization of iterative blind detection based on expectation maximization and belief propagation," Proc. Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, USA, Oct. 2024, https://arxiv.org/abs/2408.02312
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  3. 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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  4. 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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  5. 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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  6. 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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