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Xiaoran Cheng

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#artificial intelligence Preprint Sep 2026

REALM: Regime-Switching, Explainable, and Activation-Induced Linear Models

Deep ReLU networks are piecewise-affine mappings that partition the input space into cells, each characterized by a distinct activation pattern. This structure motivates fitting a local linear model within each cell to preserve predictive accuracy while improving interpretability. The challenge is to identify regimes t...

Xiao-Ran Cheng, Sen Na, Jia Li · 0 citations
Open access Aug 2026

MAXWELL: Calibrating the probabilistic outputs of protein language models to the mutation-induced stability change landscape

MAXWELL (Matrix-wise Landscape Learning), a novel post-training method that calibrates the probabilistic outputs learned by protein language models during pretraining to generate mutational landscapes that quantify the effects of individual amino acid substitutions on protein stability, is introduced.

Ming-Chen Li, Xiaoran Cheng, Fan Jiang et al. · 0 citations

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