SOURCE-LINKED INTELLIGENCE
MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes
Feedback-based coding schemes have demonstrated substantial performance gains over today's open-loop coding schemes. Unfortunately, these gains are usually achieved in idealized settings with perfect feedback. Over the last few years, machine learning-based schemes have been shown to be promising solutions for implementing feedback-based codes, particularly when combined with short-block-length open-loop error correcting codes (ECCs) in a concatenated coding structure. However, existing ML-based feedback schemes remain agnostic to the outer code's structure, potentially misallocating feedback
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T04:47:42.000Z
First collected: 2026-09-21T06:11:57.537Z. This is not the publication date.