works on
covariance recovery 1deep generative models 1model evaluation 1non-stationary gaussian random fields 1spatial statistics 1

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1 paper

stat.ML2026

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

Daniel Kua, Yan Song

The paper evaluates several deep generative models on a synthetic non‑stationary Gaussian random field to see how well they recover the true mean and covariance, and demonstrates t…