47 citations · 63 across the 2 of their papers we have counts for
2 papers
cs.IT2017★ 16 cited
Scaling Deep Learning-based Decoding of Polar Codes via Partitioning
Sebastian Cammerer, Tobias Gruber, Jakob Hoydis +1
The training complexity of deep learning-based channel decoders scales exponentially with the codebook size and therefore with the number of information bits. Thus, neural network…
cs.IT2017★ 47 cited
On Deep Learning-Based Channel Decoding
Tobias Gruber, Sebastian Cammerer, Jakob Hoydis +1
We revisit the idea of using deep neural networks for one-shot decoding of random and structured codes, such as polar codes. Although it is possible to achieve maximum a posteriori…