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Preprint Sep 2026

Revolutionizing Diffusion MRI Microstructure Mapping via Global Inversion

Diffusion MRI microstructure mapping (MM) is conventionally solved voxel by voxel, ignoring the fact that tissue microstructure forms a spatially organized field. This isolation leaves each estimation problem ill-posed and nonconvex. We instead cast MM as a single global inverse problem, reconstructing the entire param...

Yu-Xiang Wan, Hamza Farooq, Wen-Jie Zhang et al. · 0 citations
#machine learning Preprint Oct 2026

Principled Top-$k$ Selection for Language Models with Hybrid Gradients

Selecting the best $k$ items out of $m$ candidates is a critical component of modern large language model systems, such as document selection in Retrieval-Augmented Generation (RAG) and expert routing in Mixture-of-Experts (MoEs). However, training these selection modules remains challenging due to weak gradient signal...

Xu-Chen Gong, Ju Sun, Tian Li · 0 citations

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