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Density Estimation On Uci Power

Metrics

Log-likelihood

Results

Performance results of various models on this benchmark

Paper Title
nMDMA1.78Marginalizable Density Models
DDE0.97Learning Generative Models using Denoising Density Estimators
B-NAF0.61Block Neural Autoregressive Flow
FFJORD0.46FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
MADE MoG0.4Masked Autoregressive Flow for Density Estimation
PaddingFlow-PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
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Density Estimation On Uci Power | SOTA | HyperAI