Density Estimation On Uci Power

Log-likelihood

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
nMDMA	1.78	Marginalizable Density Models
DDE	0.97	Learning Generative Models using Denoising Density Estimators
B-NAF	0.61	Block Neural Autoregressive Flow
FFJORD	0.46	FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
MADE MoG	0.4	Masked Autoregressive Flow for Density Estimation
PaddingFlow	-	PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise

0 of 6 row(s) selected.