Neural Sampling on GMM-40 d = 2
3.66x-W2BNEM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| BNEMIntegration steps=100, MC samples=100, Architecture=MLP, beta=0.12024.09 | 3.66 | 1.87 | 79 | |
| NEMIntegration steps=100, MC samples=100, Architecture=MLP2024.09 | 5.28 | 44.56 | 91 | |
| PISIntegration steps=100, MC samples=100, Architecture=MLP2024.09 | 6.58 | 79.86 | 95 | |
| iDEMIntegration steps=100, MC samples=100, Architecture=MLP2024.09 | 8.21 | 60.49 | 82 | |
| FABIntegration steps=100, MC samples=100, Architecture=MLP (Continuous normalizing flow)2024.09 | 9.08 | 47.6 | 79 | |
| DDSIntegration steps=100, MC samples=100, Architecture=MLP2024.09 | 15.04 | 305.13 | 96 |