๐ก Signal & Communications¶
๐ง NeurIPS2026 ยท 1 paper notes
๐ Same area in other venues: ๐๏ธ ECCV2026 (7) ยท ๐ท CVPR2026 (2) ยท ๐ฌ ICLR2026 (7) ยท ๐งช ICML2026 (2) ยท ๐ค AAAI2026 (3) ยท ๐ง NeurIPS2025 (5)
- Geometric Inductive Biases for Semi-Supervised Equalization: The Constellation-Aware Transformer
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CAT jointly processes the known constellation and received signals from the first layer, with a bidirectional FIR signal branch for inter-symbol interference, reducing pilot requirements through per-block semi-supervised adaptation; the benefit still requires sufficient pilots and receiver-side training, rather than enabling unsupervised or zero-shot decoding across channels.