Author

M. Dao

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#machine learning Feb 2026

Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration

A diffusion-inspired reconfiguration of transformers in which each feature transformation block is modeled as a probabilistic mapping that mimics the structure of a diffusion process, transporting data mass from the input distribution to the pre-trained feature distribution.

M. Dao, Quang Pham, Phi Le Nguyen et al. · arXiv.org · 0 citations