Author

Yuan-Qing Wang

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#machine learning Open access Apr 2025

FEAT: Free energy Estimators with Adaptive Transport

A novel framework for free energy estimation that leverages learned transports implemented via stochastic interpolants and provides consistent, minimum-variance estimators based on escorted Jarzynski equality and controlled Crooks theorem, alongside variational upper and lower bounds on free energy differences.

Jiajun He, Yuan-Qi Du, Francisco Vargas et al. · Neural Information Processin... · 23 citations · ⚡1

#machine learning Preprint Sep 2026

Heat Field Signatures: From Point Clouds to Smooth Geometry

HFS turns a classical heat field into a practical interface for multiscale geometric analysis in modern point-cloud learning, and introduces the Heat Dimension Spectrum (HDS), a compact summary of multiscale geometric composition.

Yuan-Qing Wang, Ya-Peng Tian, B. Coskunuzer · 0 citations