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.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…
cs.IT2025
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…