Curvature Estimation on Synthetic Curvature Datasets
0.039MSEPLDiv
Evaluation results
| Method | Links | |
|---|---|---|
| PLDivRegression Protocol=SVR2026.02 | 0.039 | |
| Sparse PLDivRegression Protocol=SVR, Filtration=Sparse Rips filtration2026.02 | 0.04 | |
| DCScoreRegression Protocol=SVR, Kernel Function=RBF kernel2026.02 | 0.052 | |
| Vendi ScoreRegression Protocol=SVR, Kernel Function=RBF kernel2026.02 | 0.053 | |
| MAGAREARegression Protocol=SVR, Kernel Function=Euclidean2026.02 | 0.12 | |
| DCScoreRegression Protocol=SVR, Kernel Function=L1 kernel2026.02 | 0.134 | |
| Vendi ScoreRegression Protocol=SVR, Kernel Function=L1 kernel2026.02 | 0.229 |