Trajectory KL divergence on High-dimensional Gaussian mixture D=16
0KL Div (Gaussian, 0.02)Feature-wise SB
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Feature-wise SB2025.09 | 0 | 0 | 0.1 | 0.1 | |
| Reference2025.09 | 0.5 | 0.7 | 0.3 | 0.5 | |
| DLightSB-MLoss=KL, N + 1=642025.09 | 1.2 | 0.2 | 0.4 | 0.3 | |
| DLightSB2025.09 | 1.8 | 0 | 0 | 0 | |
| CSBMLoss=KL, N + 1=642025.09 | 2.8 | 21 | 7.9 | 8.8 | |
| DLightSB-MLoss=KL, N + 1=162025.09 | 3.2 | 0.1 | 0.2 | 0.2 | |
| α-CSBMLoss=KL, N + 1=642025.09 | 3.5 | 1.1 | 2.1 | 2.2 | |
| CSBMLoss=MSE, N + 1=642025.09 | 6.7 | 45 | 25.2 | 32.1 | |
| α-CSBMLoss=MSE, N + 1=642025.09 | 9.4 | 4.7 | 5.6 | 4.4 | |
| α-CSBMLoss=KL, N + 1=162025.09 | 13.3 | 103.4 | 61.1 | 81.5 | |
| α-CSBMLoss=MSE, N + 1=162025.09 | 16.1 | 112.3 | 52.8 | 72.3 | |
| CSBMLoss=KL, N + 1=162025.09 | 18.4 | 189.1 | 70.8 | 104.9 | |
| DLightSB-MLoss=MSE, N + 1=162025.09 | 22 | 0.2 | 0.5 | 0.3 | |
| DLightSB-MLoss=MSE, N + 1=642025.09 | 24.8 | 0.3 | 0.6 | 0.4 | |
| CSBMLoss=MSE, N + 1=162025.09 | 28.7 | 182.9 | 108 | 156.8 |