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Density Estimation research benchmarks – Page 2 · SOTA2 Research

Density Estimation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

0.03NLL

16

Apr 14, 2026

BSDS300 d=63 (test)

-161.16NLL

16

Jun 30, 2026

3.42Bits-per-dimension

16

Feb 26, 2026

OMNIGLOT dynamically binarized (test)

88.29NLL

16

Feb 26, 2026

Solar 0% p_miss Few-sample (n=300)

0.177MMD

14

Apr 29, 2026

Riemannian flow matching

-7.93NLL

14

Feb 26, 2026

POWER d=6; N=2,049,280 (test)

-1.78Avg Test NLL

14

Jun 23, 2026

ImageNet 64x64 (val)

3.4Bits/dim

13

Feb 26, 2026

ImageNet 32 x 32

Efficient-VDVAE

3.58NLL (bits/dim)

12

Feb 26, 2026

Dynamic MNIST (test)

22.84NLL

12

Feb 26, 2026

0.93bpd

12

Feb 26, 2026

HEPMASS UCI (test)

-13.78Log-likelihood

12

Feb 26, 2026

HEPMASS d=21; N=525,123 (test)

27.95Avg Test Log-Likelihood

12

Jun 30, 2026

MNIST mixture 784 dim (test)

1MSE

11

May 27, 2026

Solar Few-sample (n=300) (20% p_miss)

0.193MMD

11

Apr 29, 2026

0.03MMD

10

Feb 27, 2026

0.06MMD

10

Feb 27, 2026

0.03MMD

10

Feb 27, 2026

0.04MMD

10

Feb 27, 2026

Reddit-S (test)

0.02MMD

10

Feb 27, 2026

Reddit-C (test)

0.01MMD

10

Feb 27, 2026

0.03MMD

10

Feb 27, 2026

nltcs discrete (test)

-5.99Log-Likelihood

10

Jul 9, 2026

MINIBOON (test)

-6.94Avg Log-Likelihood

10

Feb 26, 2026

Oliva et al. (2018)

12.06Average Log-Likelihood

10

Feb 26, 2026

Page 2 of 11

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