no code implementations • 19 Sep 2023 • Muah Kim, Rick Fritschek, Rafael F. Schaefer
Furthermore, we examine the trade-off between sample quality and sampling speed, when an accelerated sampling algorithm is deployed, and investigate the effect of the noise scheduling on this trade-off.
no code implementations • 3 Feb 2023 • Muah Kim, Rick Fritschek, Rafael F. Schaefer
This places the challenge to approximate or generate the channel or its derivative from samples generated by pilot signaling in real-world scenarios.
no code implementations • 4 Sep 2022 • Onur Günlü, Rick Fritschek, Rafael F. Schaefer
Small neural networks (NNs) used for error correction were shown to improve on classic channel codes and to address channel model changes.
no code implementations • 12 Nov 2021 • Gerhard Wunder, Benedikt Groß, Rick Fritschek, Rafael F. Schaefer
The Jensen inequality is a widely used tool in a multitude of fields, such as for example information theory and machine learning.
no code implementations • 1 Jun 2021 • Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder
The use of deep learning-based techniques for approximating secure encoding functions has attracted considerable interest in wireless communications due to impressive results obtained for general coding and decoding tasks for wireless communication systems.
1 code implementation • 7 Mar 2019 • Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder
However, one of the drawbacks of current learning approaches is that a differentiable channel model is needed for the training of the underlying neural networks.