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Distribution-learning research benchmarks · SOTA2 Research

Distribution-learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Gaussian distribution rho = 2

0.131Wasserstein Distance Error

48

Feb 26, 2026

Uniform distribution rho = 1

0.023Wasserstein Distance Error

48

Feb 26, 2026

Gaussian distribution rho = 2 (test)

0.131Wasserstein Distance Error

48

Feb 26, 2026

99.8Uniqueness

10

Feb 26, 2026

67.3Uniqueness

10

Feb 26, 2026

GuacaMol (test)

100Validity

8

Feb 26, 2026

1W1 Distance

5

May 18, 2026

Gaussian distribution Unbounded Covariance

—

—Primary metric

0

Feb 26, 2026

Gaussian distribution Bounded Covariance

—

—Primary metric

0

Feb 26, 2026

Popular datasets

Gaussian distribution QM9 ZINC GuacaMol Manifold

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