| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Synthetic SDR 10 scenarios | SMAVE | Squared Subspace Distance (m2)0.03 | 27 | 1d ago | |
| Synthetic SDR | SMAVE | Runtime (s)0.28 | 27 | 1d ago | |
| Euclidean response settings Setting D | GenSDR | Average Distance Correlation0.809 | 15 | 3mo ago | |
| Euclidean response settings Setting C | GenSDR | Average Distance Correlation0.852 | 15 | 3mo ago | |
| Euclidean response settings Setting B | GenSDR | Avg Distance Correlation0.881 | 15 | 3mo ago | |
| Euclidean response Setting A | GenSDR | Average Distance Correlation0.954 | 15 | 3mo ago | |
| SPD Matrix-Valued Simulation Setting F | GenSDR | Average Distance Correlation0.916 | 6 | 3mo ago | |
| SPD Matrix-Valued Simulation Setting E | GenSDR | Avg Distance Correlation0.974 | 6 | 3mo ago | |
| Gas Sensor | SMAVE | MSE0.018 | 2 | 1d ago | |
| Pumadyn | MSE0.092 | 2 | 1d ago | ||
| Seoul Bike | MSE0.165 | 2 | 1d ago | ||
| Wine Quality | MSE0.498 | 2 | 1d ago |
