… class of neural networks suitable for the application of decoding error-correcting codes. The
… is shown to be able to decode a binary linear block code with at most 2m weights in each …

… In this paper we use an analytic approach for constructing neural net decoders of matrix
codes. In Section 1 we consider neural net decoders which are built on the base of …

… decoding, despite the large example space. In this paper we introduce a recurrent neural
network architecture for decoding linear block codes. … to the feed-forward neural network with …

… design the Hopfield net as an analogue decoder for the balanced codes. Balanced … decode
the (47, 24) quadratic residue code. Binary QR codes are believed to be one of the best code …

… , by performing message passing with graph neural networks. The parameters of the sub-…
of algebraic block codes, from diverse families of codes (BCH, LDPC, Polar), the decoding …

… , we design neural decoders for the nonlinear block codes. … weight codes (CWC), a class of
non-linear block codes in which … code is represented as CWC (n, d, w), where n is the block …

… trained and supervised neural network is proposed to decode convolutional codes one block
at a … finite-state machine and Viterbi decoder performs maximum likelihood decoding. In the …

… for specific codes. In terms … neural decoder grows linearly with k. 2) We study of the
performance of the proposed multilabel neural decoder for decoding non-concatenated block codes …

… decoder outperforms existing neural decoding on conventional codes, (ii) the suggested
framework generates codes that … codes, and (iii) the codes we developed not only excel with our …

… architectures are based on RNNs, we introduce a new block in the decoder architecture
so that the decoder can satisfy the extreme low latency constraint. We show that LEARN …