Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes. - Stefan Schibisch; Sebastian Cammerer; Sebastian Dörner; Jakob Hoydis; Stephan ten Brink (ISWCS, 2018)

On Deep Learning-Based Massive MIMO Indoor User Localization. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (SPAWC, 2018)

OFDM-Autoencoder for End-to-End Learning of Communications Systems. - Alexander Felix; Sebastian Cammerer; Sebastian Dörner; Jakob Hoydis; Stephan ten Brink (SPAWC, 2018)

Deep Learning Based Communication Over the Air. - Sebastian Dörner; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (IEEE J. Sel. Top. Signal Process., 2018)

Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (ACSSC, 2019)

On Recurrent Neural Networks for Sequence-based Processing in Communications. - Daniel Tandler; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (ACSSC, 2019)

Towards Practical Indoor Positioning Based on Massive MIMO Systems. - Mark Widmaier; Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (VTC Fall, 2019)

Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Sarah Yan; Jakob Hoydis; Stephan ten Brink (CoRR, 2019)

Extended Abstract: Deep Learning of the Physical Layer for BICM Systems. - Fayçal Ait Aoudia; Sebastian Cammerer; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (SiPS, 2020)

WGAN-based Autoencoder Training Over-the-air. - Sebastian Dörner; Marcus Henninger; Sebastian Cammerer; Stephan ten Brink (SPAWC, 2020)

Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication. - Tim Uhlemann; Sebastian Cammerer; Alexander Span; Sebastian Dörner; Stephan ten Brink (CoRR, 2020)

Trainable Communication Systems: Concepts and Prototype. - Sebastian Cammerer; Fayçal Ait Aoudia; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (IEEE Trans. Commun., 2020)

Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes. - Jannis Clausius; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (ISTC, 2021)

Bit-wise Autoencoder for Multiple Antenna Systems. - Sebastian Dörner; Sarah Rottacker; Marc Gauger; Stephan ten Brink (ISWCS, 2021)

Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications. - Moritz Benedikt Fischer; Sebastian Dörner; Sebastian Cammerer; Takayuki Shimizu; Bin Cheng 002; Hongsheng Lu; Stephan ten Brink (IV, 2021)

A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning. - Florian Euchner; Marc Gauger; Sebastian Dörner; Stephan ten Brink (WSA, 2021)

Adaptive NN-based OFDM Receivers: Computational Complexity vs. Achievable Performance. - Moritz Benedikt Fischer; Sebastian Dörner; Felix Krieg; Sebastian Cammerer; Stephan ten Brink (IEEECONF, 2022)

Deep Learning for Uplink CSI-based Downlink Precoding in FDD massive MIMO Evaluated on Indoor Measurements. - Florian Euchner; Niklas Süppel; Marc Gauger; Sebastian Dörner; Stephan ten Brink (EUSIPCO, 2022)

FPGA-based Trainable Autoencoder for Communication Systems. - Jonas Ney; Sebastian Dörner; Matthias Herrmann; Mohammad Hassani Sadi; Jannis Clausius; Stephan ten Brink; Norbert Wehn (FPGA, 2022)

On End-to-End Learning of Joint Detection and Decoding for Short-Packet Communications. - Jannis Clausius; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (GLOBECOM (Workshops), 2022)

Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements. - Florian Euchner; Phillip Stephan; Marc Gauger; Sebastian Dörner; Stephan ten Brink (SPAWC, 2022)

Adaptive Neural Network-based OFDM Receivers. - Moritz Benedikt Fischer; Sebastian Dörner; Sebastian Cammerer; Takayuki Shimizu; Hongsheng Lu; Stephan ten Brink (SPAWC, 2022)

Introducing γ-lifting for Learning Nonlinear Pulse Shaping in Coherent Optical Communication. - Tim Uhlemann; Alexander Span; Sebastian Dörner; Stephan ten Brink (CoRR, 2022)

Deep Reinforcement Learning for mmWave Initial Beam Alignment. - Daniel Tandler; Sebastian Dörner; Marc Gauger; Stephan ten Brink (CoRR, 2023)

Learning to communicate: machine learning for the air interface. - Sebastian Dörner (2023)

Learning Joint Detection, Equalization and Decoding for Short-Packet Communications. - Sebastian Dörner; Jannis Clausius; Sebastian Cammerer; Stephan ten Brink (IEEE Trans. Commun., 2023)

On the Implementation of Neural Network-based OFDM Receivers. - Moritz Benedikt Fischer; Sebastian Dörner; Takayuki Shimizu; Chinmay Mahabal; Hongsheng Lu; Stephan ten Brink (VTC Spring, 2024)

Deep Learning based Adaptive Joint mmWave Beam Alignment. - Daniel Tandler; Marc Gauger; Ahmet Serdar Tan; Sebastian Dörner; Stephan ten Brink (WCNC, 2024)