Luca Schmid

According to our database, Luca Schmid authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Tensor-Train Framework for Bayesian Inference in High-Dimensional Systems: Applications to MIMO Detection and Channel Decoding.

Luca Schmid, Dominik Sulz, Shrinivas Chimmalgi, Laurent Schmalen

CoRR, April, 2026

2025

Blind Channel Estimation and Joint Symbol Detection With Data-Driven Factor Graphs.

Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen

IEEE Trans. Commun., September, 2025

Symbol Detection in Inter-Symbol Interference Channels using Expectation Propagation with Channel Shortening.

Jannis Clausius, Luca Schmid, Laurent Schmalen, Stephan ten Brink

CoRR, September, 2025

Uncertainty Propagation in the Fast Fourier Transform.

Luca Schmid, Charlotte Muth, Laurent Schmalen

Proceedings of the 26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, 2025

2024

Fast and Robust Expectation Propagation MIMO Detection via Preconditioned Conjugated Gradient.

Luca Schmid, Dominik Sulz, Laurent Schmalen

Proceedings of the 58th Asilomar Conference on Signals, 2024

Optimization of Iterative Blind Detection Based on Expectation Maximization and Belief Propagation.

Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation.

Shrinivas Chimmalgi, Andrej Rode, Luca Schmid, Laurent Schmalen

CoRR, 2023

Local Message Passing on Frustrated Systems.

Luca Schmid, Joshua Brenk, Laurent Schmalen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning.

Lukas Rapp, Luca Schmid, Andrej Rode, Laurent Schmalen

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Low-Complexity Near-Optimum Symbol Detection Based on Neural Enhancement of Factor Graphs.

Luca Schmid, Laurent Schmalen

IEEE Trans. Commun., 2022

Neural Enhancement of Factor Graph-based Symbol Detection.

Luca Schmid, Laurent Schmalen

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022