3 papers
cs.IT2026
Leveraging Code Automorphisms for Improved Syndrome-Based Neural Decoding
Raphaël Le Bidan, Ahmad Ismail, Elsa Dupraz +1
Syndrome-based neural decoding (SBND) has emerged as a promising deep learning approach for soft-decision decoding of high-rate, short-length codes. However, this approach still ha…
cs.IT2026
Doing More With Less: Towards More Data-Efficient Syndrome-Based Neural Decoders
Ahmad Ismail, Raphaël Le Bidan, Elsa Dupraz +1
While significant research efforts have been directed toward developing more capable neural decoding architectures, comparatively little attention has been paid to the quality of t…
cs.IT2025
Learning Variable Node Selection for Improved Multi-Round Belief Propagation Decoding
Ahmad Ismail, Raphaël Le Bidan, Elsa Dupraz +1
Error correction at short blocklengths remains a challenge for low-density parity-check (LDPC) codes, as belief propagation (BP) decoding is suboptimal compared to maximum-likeliho…