Weijun Fang

Drop-in Circulant Structural Priors for Transformer Decoding of Cyclic Codes

While Transformer-based architectures have revolutionized neural decoding, existing models often treat codes as generic sequences, ignoring their inherent algebraic properties. In this paper, we take a step toward bridging these two domains by proposing a novel decoding approach that integrates the …