Research map / Architectures and efficiency / RNNs and normalization
CRISP: Curriculum based Sequential neural decoders for Polar code family
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning (ICML 2024 · similarity 0.88)
- Learning Linear Block Error Correction Codes (ICML 2024 · similarity 0.84)
- Friendly Attacks to Improve Channel Coding Reliability (AAAI 2024 · similarity 0.83)
- Structured Masked Diffusion for Joint Multiuser Decoding (NeurIPS 2026 · similarity 0.81)
- Fast Channel Simulation via Error-Correcting Codes (NeurIPS 2024 · similarity 0.81)
- Entropy-informed Decoding: Adaptive Information-Driven Branching (ICML 2026 · similarity 0.81)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
