Sine
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Synthetic Time Series Generation | Sine | Average ELBO Score1.5 | 48 | |
| Time-series generation | Sine | Discriminative Score0.021 | 24 | |
| Synthetic time series generation | Sine | FID Score0.06 | 24 | |
| Time-series generation | Sine (test) | Predictive Score0.2566 | 12 | |
| Anomaly Detection | Sine Synthetic (full stream) | G-Mean0.808 | 11 | |
| Anomaly Detection | Sine Synthetic | Specificity94.6 | 11 | |
| Anomaly Detection | Sine | Recall100 | 11 | |
| Anomaly Detection | Sine | Avg PAUC0.927 | 11 | |
| Instrumental Variable Estimation | sine n=200 | MSE0.059 | 8 | |
| Data Stream Classification | Sine | Accuracy96.32 | 7 | |
| Heteroskedastic Regression | Sine (test) | µ MSE0.69 | 5 | |
| Online adaptation recovery | Sine n=64 | Recovery125 | 4 | |
| Uncertainty Quantification | sine IV design | AUC86.7 | 4 | |
| Instrumental Variable Estimation | sine n=1000 | MSE0.087 | 4 | |
| Instrumental Variable Estimation | sine n=500 | MSE0.117 | 4 | |
| Ljung-Box test | Sine synthetic data stream | P-value0.324 | 3 | |
| Factor of Variation Prediction | Sine (test) | R2 Score0.99 | 2 | |
| Online adaptation recovery | Sine n=1024 | Recovery (%)378 | 1 |
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