Generative Modeling
Benchmarks
Dataset NameSOTA methodMetricTrendResultsLast Updated
0.51W1: Point Features (η, φ, r)
3
Feb 26, 2026
0.29W1 Point Features (η, φ, r)
3
Feb 26, 2026
0.028W1 Point Feature Error (η, φ, r)
3
Feb 26, 2026
798.56Lower Bound
2
Jun 5, 2026
-224.79ELBO
2
Apr 10, 2026
15.748Energy
2
Mar 11, 2026
4.821Mean Energy ⟨E⟩
2
Mar 11, 2026
-1.92Log Likelihood
2
Mar 10, 2026
-1.94Likelihood Loss
2
Mar 10, 2026
10,875Avg Training Time (s)
2
Feb 26, 2026
3,317Avg Training Time (s)
2
Feb 26, 2026
443.4Training Time (s)
2
Feb 26, 2026
3.85Perplexity (PPL)
2
Feb 26, 2026
60.2Cross Entropy
2
Feb 26, 2026
1,666.9Cross Entropy
2
Feb 26, 2026
0.69Bits/Dimension (bpd)
2
Feb 26, 2026
0.61NLL (bits/dim)
2
Feb 26, 2026
2.67Bits per Dimension
2
Feb 26, 2026
2.46Bits per Dimension
2
Feb 26, 2026
2.38Bits Per Dimension (BPD)
2
Feb 26, 2026
49.2Label Accuracy
2
Feb 26, 2026
0.018MMD
2
Feb 26, 2026
303.66NLL
1
May 6, 2026
74.13NLL
1
May 6, 2026
1.13NLL
1
May 6, 2026