Author

Avi Caciularu

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#machine learning Preprint Sep 2026

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

This work introduces the Constellation-Aware Transformer (CAT), a novel architecture that explicitly injects geometric inductive biases into the equalization process and shows that this design is structurally aligned with the optimal linear (MIMO Wiener) receiver.

Avi Caciularu · 0 citations