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Density Estimation research benchmarks – Page 5 · SOTA2 Research

Density Estimation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

VECTOR-PROJ E-ACF

30.19Negative Log-Likelihood

7

Feb 26, 2026

8.01Negative Log-Likelihood

7

Feb 26, 2026

Human3.6M (test)

1.304MM Log Prob. per Dim

6

Jun 8, 2026

random GMM 20 0.1 (dim 10) reuse sampling scheme 1.0 (test)

2.02MSE

6

May 27, 2026

-1.38NLL

6

Feb 26, 2026

0.43NLL

6

Feb 26, 2026

Caltech-101 Silhouettes (test)

-107.28Test Log-Likelihood

6

Feb 26, 2026

0.67MAE

5

May 18, 2026

0.36MAE

5

May 18, 2026

0.26MAE

5

May 18, 2026

12MAE

5

May 18, 2026

0.1MAE

5

May 18, 2026

0.11MAE

5

May 18, 2026

CelebA Grayscale aligned and cropped (test)

3,123NLL

5

May 15, 2026

Miniboone d=50 (test)

-0.053NLL

5

Apr 23, 2026

Credit (d=24) (test)

0NLL

5

Apr 23, 2026

Power d=5 (test)

-0.747NLL

5

Apr 23, 2026

0.02Wasserstein Distance

5

Feb 27, 2026

Riemannian flow matching

-5.2NLL

5

Feb 26, 2026

Protein T2 Pre-Pro 500 proteins (test)

Riemannian flow matching

1.18NLL

5

Feb 26, 2026

Protein T2 Proline 500 proteins (test)

Riemannian diffusion

0.12NLL

5

Feb 26, 2026

Protein T2 Glycine 500 proteins (test)

1.89NLL

5

Feb 26, 2026

Protein T2 General 500 proteins (test)

Riemannian flow matching

1.01NLL

5

Feb 26, 2026

Synthetic SO(3) M=64 (test)

0.45NLL

5

Feb 26, 2026

Synthetic SO(3) M=32 (test)

-0.21NLL

5

Feb 26, 2026

Page 5 of 11

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