Author

Riccardo Grazzi

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#machine learning Preprint Sep 2026

Complex KDA: Understanding and Enhancing the Expressivity of Kimi Delta Attention

This work shows that Kimi Delta Attention (KDA) can realize 2D rotations by combining a single delta-rule transformation with a second reflection supplied by its channel-wise gate, and characterize the expressivity of CKDA and prove that every orthogonal diagonal-plus-rank-one matrix is exactly a CKDA transition matrix...

Julien Siems, Riccardo Grazzi, Korbinian Pöppel et al. · 1 citation · ⚡1