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Amir Mohammad Mahfoozi

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#machine learning Preprint Oct 2026

Random Feature Gaussian Process Attention: Linear-Time Probabilistic Attention with Calibrated Uncertainty

Transformers provide a state-of-the-art modeling framework, yet poor calibration limits their reliability in safety-critical applications. A promising direction addresses this issue by interpreting attention as a Gaussian process (GP) posterior, which enables principled uncertainty calibration but incurs cubic complexi...

Amir Mohammad Mahfoozi, Zi-Ye Yang, Ying Li et al. · 0 citations

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