Synthetic Datasets
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | synthetic datasets #2 (test) | MSE0 | 64 | |
| Regression | synthetic datasets #1 1.0 (test) | MSE0 | 64 | |
| Rotation Averaging | Synthetic Datasets | Rotational Error (R)0 | 60 | |
| Confidence interval construction | synthetic datasets #1 | 95% CI Coverage Rate1 | 48 | |
| Reciprocal Recommendation | Synthetic datasets n=75, m=50, e=log 10 independent trials | Expected Matches136.4 | 36 | |
| Tabular Data Clustering | Synthetic datasets | ARI Rank13 | 13 | |
| Single Image Reflection Separation | Synthetic Datasets Average (540) (test) | PSNR26.4 | 12 | |
| Conditional Average Treatment Effect (CATE) estimation | 10 Synthetic Datasets | PEHE0.515 | 9 | |
| HDR Reconstruction | Synthetic datasets Panoramic | Stops13.03 | 8 | |
| HDR Reconstruction | Synthetic datasets (Perspective) | Stops11.68 | 8 | |
| Logistic regression with missing covariates | Synthetic datasets 50% MCAR (test) | Training Time0.0429 | 7 | |
| Causal Generative Modeling | 11 synthetic datasets Mixed type variables (test) | RF Observed Accuracy0.58 | 7 | |
| Causal Discovery | Synthetic datasets | Adjacency Recall84.3 | 6 | |
| Missing Value Imputation | Synthetic datasets (test) | RMSE0.1196 | 6 | |
| Regression | 10 Synthetic Datasets High-dimensional Nonlinear Regression Simulation (10 datasets average) | FSR0 | 6 | |
| Causal Generative Modeling | 11 synthetic datasets Continuous variables (test) | RF Accuracy (Observed)56 | 5 | |
| Novel View Synthesis | Synthetic datasets (test) | Rendering Speed (x)1 | 5 | |
| Novel View Synthesis | Synthetic Datasets LDR-NE (test) | PSNR37.53 | 5 | |
| Novel View Synthesis | Synthetic Datasets LDR-OE (test) | PSNR41.1 | 5 | |
| SAT solving | Synthetic datasets Larger Distribution | Success Rate9.13 | 5 | |
| SAT solving | Synthetic datasets Same Distribution | SR63.16 | 5 | |
| Causal Effect Estimation | Synthetic Datasets Setting B (out-of-sample) | Empirical Wasserstein Distance (W1)1.13 | 4 | |
| Causal Effect Estimation | Synthetic Datasets Setting B (in-sample) | Empirical W1 Distance1.11 | 4 | |
| Causal Effect Estimation | Synthetic Datasets Setting A out-of-sample | Empirical Wasserstein Distance (W1)1.03 | 4 | |
| Causal Effect Estimation | Synthetic Datasets Setting A in-sample | Empirical Wasserstein Distance (W1)1 | 4 |
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