| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Mutual Information Estimation | Gaussian d=20 (test) | Bias0.01 | 60 | |
| Mutual Information Estimation | Gaussian d=5, N=64 | Variance0 | 42 | |
| Mutual Information Estimation | Gaussian (d=10, N=64) | Bias0.06 | 30 | |
| Conformal Prediction | Gaussian | Conditional Coverage100 | 16 | |
| Time series generation | Gaussian Dataset | Discriminative Score (Temporal, phi=0.2)0.5 | 12 | |
| Change-point detection | Gaussian mean change Δ = 1/d^(1/3) | P_mean (d=1)0.99 | 10 | |
| Regression | Gaussian 1K seller (train) | MSE0.37 | 10 | |
| Node-level Regression Uncertainty Quantification | Gaussian | PICP100 | 9 | |
| Clustering | gaussian synthetic | F-measure98.63 | 9 | |
| Clustering | w10Gaussian | AMI1 | 9 | |
| Uncertainty Quantification | Gaussian Synthetic | MPE0.13 | 8 | |
| Uncertainty Quantification | Gaussian Synthetic | Sharpness0.04 | 8 | |
| Dynamic Unbalanced Optimal Transport | GAUSSIAN 1000D | W1 (Wasserstein-1 Distance)2.233 | 8 | |
| 2D Synthetic Target Sampling | Gaussian 2D Synthetic | KSD0.013 | 8 | |
| Regression | Gaussian 100K seller (train) | MSE0.16 | 8 | |
| Vector Quantization | Gaussian source | MSE0.0625 | 7 | |
| Marginal Distribution Recovery | 16D Gaussian (test) | BW2-UVP (t=0)0 | 7 | |
| EOT plan recovery | Gaussian Dim 128 | BW2-UVP4,711 | 7 | |
| EOT plan recovery | Gaussian Dim 64 | BW2-UVP2,556 | 7 | |
| EOT plan recovery | Gaussian Dim 16 | BW2-UVP1,456 | 7 | |
| EOT plan recovery | Gaussian Dim 2 | BW2-UVP677 | 7 | |
| Uncertainty-bound prediction | Gaussian | Interval Length0.055 | 6 | |
| Image Reconstruction | Gaussian | MSE0.0006 | 6 | |
| Mutual Information Estimation | Gaussian (d=5, N=64, MI=10) | Variance0.06 | 6 | |
| Mutual Information Estimation | Gaussian d=5, N=64, MI=8 | Variance0.06 | 6 |