DeEQ: Deep Equalization for Large MIMO Systems. - Matthias Hummert; Dirk Wübben; Armin Dekorsy (WSA, 2020)

Neural Network-based Forecasting of Decodability for Early ARQ. - Matthias Hummert; Dirk Wübben; Armin Dekorsy (ISWCS, 2021)

Machine Learning Scaled Belief Propagation for Short Codes. - Matthias Hummert; Dirk Wübben; Armin Dekorsy (VTC Fall, 2021)

Deep Learning-Based Forward-Aware Quantization for Satellite-Aided Communications via Information Bottleneck Method. - Matthias Hummert; Shayan Hassanpour; Dirk Wübben; Armin Dekorsy (EuCNC/6G Summit, 2024)

Deep FAVIB: Deep Learning-Based Forward-Aware Quantization via Information Bottleneck Method. - Matthias Hummert; Shayan Hassanpour; Dirk Wübben; Armin Dekorsy (ICC, 2024)

Improving NOMA Performance by Application of Autoencoders and Equidistant Power Allocation. - Matthias Hummert; Niklas Bulk; Carsten Bockelmann; Dirk Wübben; Armin Dekorsy (WSA, 2024)

A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle. - Shayan Hassanpour; Matthias Hummert; Dirk Wübben; Armin Dekorsy (IEEE Open J. Commun. Soc., 2025)