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#machine learning Preprint Sep 2026

Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation

The log-ratio variation $\X_\omega$, the mean absolute pairwise difference of the target-to-pushforward log-density ratio under a weighting measure under a weighting measure, is introduced and used to define KLXX, a new loss function and the Fisher--Rao gradient flow of KLXX is derived, where both variations contribute...

Qi-Han Feng, Rong-Jie Lai, Di Qi et al. · 0 citations

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