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Preprint Oct 2026

NAGO: Noise-Aware Generative Operator via Flow Matching

We introduce NAGO, a noise-aware generative operator for efficient sampling from invariant measures of stochastic partial differential equations (SPDEs) in function space. Our central idea is to treat the source measure as a design variable rather than a fixed Gaussian default. We establish admissibility conditions for...

Guan-Yu Chen, Sheng-Ze Xu, Peng-Wei Liu et al. · 0 citations

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