circles
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Circles Manifold 3D (test) | Accuracy100 | 18 | |
| Clustering | Circles (n=300, m=2, k=2) | SSE119.7 | 12 | |
| Binary Classification | circles | Accuracy94.7 | 10 | |
| Unconditional Density Estimation | Circles (test) | Test LogLikelihood-1.92 | 8 | |
| Distribution Fitting | Circles 2D synthetic (toy) | JS Divergence0.032 | 7 | |
| Conditional Generative Modeling | Circles | W24.46 | 6 | |
| Transport Planning | circles | Avg Trajectory Length1.1758 | 6 | |
| Sampling | circles | Transport Efficiency99.23 | 6 | |
| Generative Modeling | circles | MMD0 | 6 | |
| Sample Generation | circles (test) | Avg L1 Distance1.1588 | 6 | |
| Synthetic Data Generation | circles | CSD14.4807 | 6 | |
| Clustering | Circles | Running Time (ms)5.13 | 5 | |
| Discrete Density Estimation | circles Gray code (test) | MMD0.022 | 5 | |
| Discrete Density Estimation | circles | NLL20.546 | 5 | |
| Clustering | Circles | ARI98 | 4 | |
| Constrained Clustering | Circles Synthetic | SSE129.55 | 3 | |
| Two-dimensional generative modeling | circles | JS Divergence (1)0.161 | 2 |
Showing 17 of 17 rows