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๐Ÿ“ก Signal & Communications

๐Ÿง  NeurIPS2026 ยท 1 paper notes

๐Ÿ“Œ Same area in other venues: ๐ŸŽž๏ธ ECCV2026 (7) ยท ๐Ÿ“ท CVPR2026 (2) ยท ๐Ÿ”ฌ ICLR2026 (7) ยท ๐Ÿงช ICML2026 (2) ยท ๐Ÿค– AAAI2026 (3) ยท ๐Ÿง  NeurIPS2025 (5)

Geometric Inductive Biases for Semi-Supervised Equalization: The Constellation-Aware Transformer

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.