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Discrete-space EOT/SB modeling research benchmarks · SOTA2 Research

Discrete-space EOT/SB modeling

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

High-Dimensional Gaussian Mixture D=64, uniform, gamma=0.01 v1 (test)

0.77Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=64, uniform, gamma=0.005 v1 (test)

82Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=64, gaussian, gamma=0.05 v1 (test)

75Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=64, gaussian, gamma=0.02 v1 (test)

85Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=16, uniform, gamma=0.01 v1 (test)

84Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture (D=16, uniform, gamma=0.005) v1 (test)

84Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=16, gaussian, gamma=0.05 v1 (test)

84Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=16, gaussian, gamma=0.02 v1 (test)

82Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture (D=2, uniform, gamma=0.01) v1 (test)

0.87Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=2, uniform, gamma=0.005 v1 (test)

0.87Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=2, gaussian, gamma=0.05 v1 (test)

85Conditional Trend Score

16

Mar 4, 2026

High-Dimensional Gaussian Mixture D=2, gamma=0.02 v1 (test)

91Conditional Trend Score

16

Mar 4, 2026

Popular datasets

High-dimensional Gaussian mixture

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