LD-weighted PDF reconstruction on three-mode NLS Inside only distribution (test)
0.0034KL DivergenceSympNet
Evaluation results
| Method | Links | |
|---|---|---|
| SympNetNumber of training trajectories N=1252026.04 | 0.0034 | |
| GHNNNumber of training trajectories N=1252026.04 | 0.0034 | |
| RCNumber of training trajectories N=2502026.04 | 0.0036 | |
| HénonNetNumber of training trajectories N=1252026.04 | 0.0039 | |
| GHNNNumber of training trajectories N=2502026.04 | 0.0042 | |
| SympNetNumber of training trajectories N=5002026.04 | 0.0045 | |
| GHNNNumber of training trajectories N=5002026.04 | 0.0046 | |
| HénonNetNumber of training trajectories N=5002026.04 | 0.0046 | |
| SympNetNumber of training trajectories N=10002026.04 | 0.0048 | |
| RCNumber of training trajectories N=5002026.04 | 0.0048 | |
| SympNetNumber of training trajectories N=2502026.04 | 0.0051 | |
| GHNNNumber of training trajectories N=10002026.04 | 0.0052 | |
| HénonNetNumber of training trajectories N=2502026.04 | 0.0062 | |
| RCNumber of training trajectories N=10002026.04 | 0.0066 | |
| RCNumber of training trajectories N=1252026.04 | 0.0089 | |
| HénonNetNumber of training trajectories N=10002026.04 | 0.0118 |