Distribution Learning on Manifold
1W1 DistanceOAS23
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OAS23Manifold assumption=X = AZ, supp(Z) = [-1, 1]d, Density regularity=Besov class density, lower bounded density2026.05 | 1 | — | |
| TY24Manifold assumption=compact smooth manifold, positive reach, Density regularity=Hölder class density, lower bounded density2026.05 | 1 | — | |
| ADR24Manifold assumption=compact smooth manifold, positive reach, Density regularity=Hölder class density, lower bounded density2026.05 | 1 | — | |
| ZHZ+26Manifold assumption=compact smooth manifold, positive reach, Density regularity=Hölder class density, lower bounded density2026.05 | 1 | — | |
| variance-preserving SGM estimatorManifold assumption=compact smooth manifold, positive reach, Density regularity=Hölder class density, lower bounded density2026.05 | 1 | — | |
| CHZW23Manifold assumption=X = AZ, sub-Gaussian PZ, Density regularity=Lipschitz on-support score2026.05 | — | 1 | |
| YP25Manifold assumption=X = g*(Z) + ξ, Z ∼ U([0, 1]d), Density regularity=Hölder class g*2026.05 | — | 6 |