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S. Pathiraja

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#machine learning Nov 2025

An operator splitting analysis of Wasserstein-Fisher-Rao gradient flows

Wasserstein-Fisher-Rao (WFR) gradient flows have been recently proposed as a powerful sampling tool that combines the advantages of pure Wasserstein (W) and pure Fisher-Rao (FR) gradient flows. Existing algorithmic developments implicitly make use of operator splitting techniques to numerically approximate the WFR part...

F. R. Crucinio, S. Pathiraja · 2 citations

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