The paper casts the standard Transformer block with RoPE as a first-order approximation of a radial–tangential state estimator and introduces a Polar Transformer variant that retains the discarded geometric corrections.
AI-aided Kalman filters
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
A Bussgang-aided Kalman filter and its learned variant estimate states accurately from 1-bit quantized measurements using adaptive thresholding.
citing papers explorer
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The Transformer as a Polar State Estimator
The paper casts the standard Transformer block with RoPE as a first-order approximation of a radial–tangential state estimator and introduces a Polar Transformer variant that retains the discarded geometric corrections.
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Energy-Efficient State Estimation with 1-Bit Sensing: A Bussgang-Kalman Framework for Internet of Things
A Bussgang-aided Kalman filter and its learned variant estimate states accurately from 1-bit quantized measurements using adaptive thresholding.
- Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation