Simulated dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Biclustering | Simulated dataset (val) | Mean ARI0.96 | 54 | |
| Biclustering | Simulated dataset (train) | Mean ARI96 | 54 | |
| Component estimation | Simulated dataset one level | Accuracy91 | 28 | |
| Reproducibility | Simulated dataset k2=6 | Reproducibility85.1 | 20 | |
| Reproducibility | Simulated dataset k2 = 4 | Reproducibility86.1 | 20 | |
| State Estimation | 3-variable simulated dataset (No. 2) with frequent transitions v1 (test) | Accuracy93.24 | 18 | |
| Forecasting and state estimation | 10-variable simulated dataset (infrequent transitions) | Accuracy96.15 | 18 | |
| Trajectory Prediction | Simulated Dataset | Precision95.25 | 18 | |
| Novel View Synthesis | Simulated dataset | PSNR (dB)28.39 | 15 | |
| Synthetic Data Generation | Simulated dataset linear formula 4.3 | M1 Metric Value11 | 11 | |
| Forecasting | Simulated dataset (3 variables) with infrequent transitions | MAE0.0889 | 9 | |
| State Estimation | Simulated dataset (3 variables) with infrequent transitions | Accuracy98.17 | 9 | |
| Forecasting | 3-variable simulated dataset No. 2 with frequent transitions v1 (test) | MAE0.1012 | 9 | |
| Forecasting | 3-variable simulated dataset with infrequent transitions (test) | MAE0.0889 | 9 | |
| State Estimation | 3-variable simulated dataset with infrequent transitions (test) | Accuracy98.17 | 9 | |
| Causal function estimation | Simulated Dataset B Binary (test) | MSE0.001 | 8 | |
| CATE Estimation | Simulated Dataset Nonlinear Outcome | RMSE (Quadratic)1.45 | 8 | |
| CATE Estimation | Simulated Dataset Linear Outcome | Mean RMSE (Var=0.1)0.76 | 8 | |
| Intensity Image Reconstruction | Simulated dataset stronger noise condition (test) | PSNR28.06 | 6 | |
| Conditional Average Treatment Effect Estimation | Simulated Dataset t distribution, n=100 S2 (test) | CATE Bias (Mean)0.045 | 5 | |
| Conditional Average Treatment Effect Estimation | Simulated Dataset Non-linear n=100 S2 (test) | CATE Bias Mean-0.166 | 5 | |
| Conditional Average Treatment Effect Estimation | Simulated Dataset Linear, n=100 S2 (test) | Mean CATE Bias0.014 | 5 | |
| Multivariate Forecasting | 3-variable simulated dataset | MAE0.0889 | 4 | |
| Conditional Average Treatment Effect Estimation | Simulated Dataset Hidden confounding, n=100 S2 (test) | CATE Bias Mean1.687 | 4 | |
| Multi-object pushing trajectory tracking | Simulated dataset Multi-object | Mean 3D Trajectory Error (cm)0.38 | 4 |
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