Density Estimation On Uci Power
Métriques
Log-likelihood
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Log-likelihood | Paper Title | Repository |
|---|---|---|---|
| nMDMA | 1.78 | Marginalizable Density Models | |
| PaddingFlow | - | PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise | |
| DDE | 0.97 | Learning Generative Models using Denoising Density Estimators | |
| B-NAF | 0.61 | Block Neural Autoregressive Flow | |
| MADE MoG | 0.4 | Masked Autoregressive Flow for Density Estimation | |
| FFJORD | 0.46 | FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models |
0 of 6 row(s) selected.