Trajectory KL divergence on High-dimensional Gaussian mixture D=2
0Trajectory KL Divergence (Gaussian 0.02)Feature-wise SB
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Feature-wise SB2025.09 | 0 | 0 | 0 | 0 | |
| DLightSB2025.09 | 0 | 0 | 0 | 0 | |
| DLightSB-MLoss=KL, N + 1=162025.09 | 0.1 | 0 | 0 | 0 | |
| DLightSB-MLoss=KL, N + 1=642025.09 | 0.2 | 0 | 0 | 0 | |
| Reference2025.09 | 0.5 | 0.6 | 0.3 | 0.5 | |
| DLightSB-MLoss=MSE, N + 1=162025.09 | 0.8 | 0 | 0.2 | 0 | |
| α-CSBMLoss=MSE, N + 1=642025.09 | 1 | 3.1 | 0.9 | 0.8 | |
| DLightSB-MLoss=MSE, N + 1=642025.09 | 1 | 0 | 0.2 | 0.1 | |
| α-CSBMLoss=KL, N + 1=642025.09 | 1.3 | 4.9 | 0.7 | 0.7 | |
| CSBMLoss=KL, N + 1=642025.09 | 1.5 | 7.4 | 1 | 1.5 | |
| α-CSBMLoss=KL, N + 1=162025.09 | 6.4 | 23.7 | 4.2 | 6.4 | |
| α-CSBMLoss=MSE, N + 1=162025.09 | 7.6 | 17.5 | 5.6 | 5.2 | |
| CSBMLoss=KL, N + 1=162025.09 | 8 | 32.1 | 4.7 | 8.1 | |
| CSBMLoss=MSE, N + 1=642025.09 | 9.5 | 10.3 | 3.2 | 3.1 | |
| CSBMLoss=MSE, N + 1=162025.09 | 14 | 23.8 | 7.9 | 7.4 |