Generative Modeling on 2D simulation Gamma-Poisson mixture
2.879W2 Distancecount-FM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| count-FMNumber of trainable parameters=2,3722026.05 | 2.879 | 0.0001 | |
| count-FM-OTNumber of trainable parameters=2,3722026.05 | 2.971 | 0.0002 | |
| D3PMNumber of trainable parameters=15,3062026.05 | 3.283 | 0.0006 | |
| discrete-FMNumber of trainable parameters=14,2502026.05 | 3.36 | 0.0009 | |
| tauLDRNumber of trainable parameters=15,3062026.05 | 3.733 | 0.0008 | |
| SEDDNumber of trainable parameters=15,3062026.05 | 4.426 | 0.0026 | |
| Poisson-JUMPNumber of trainable parameters=67,3302026.05 | 4.581 | 0.0038 | |
| Dirichlet-FMNumber of trainable parameters=15,3062026.05 | 6.191 | 0.0036 |