SIR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Symbolic Discovery of Ordinary Differential Equations | SIR(2D) ID | Residual NMSE0 | 10 | |
| Symbolic Discovery of Ordinary Differential Equations | SIR 2D ID-Ext | Residual NMSE0 | 8 | |
| Watermark Evasion | SIR | Attack Success Rate99.6 | 6 | |
| Model Discovery | SIR | Avg NLL (Data | Model)-503.37 | 6 | |
| Simulation-based Inference | SIR | RMSE0.058 | 5 | |
| Estimating source distributions | SIR high-dimensional (test) | C2ST Accuracy0.76 | 5 | |
| Epidemiological Spatiotemporal Inference | SIR Scaled domain (test) | NLL0.18 | 4 | |
| Epidemiological Spatiotemporal Inference | SIR Shifted domain (test) | NLL0.19 | 4 | |
| Epidemiological Spatiotemporal Inference | SIR Original domain (test) | NLL0.19 | 4 | |
| Simulation-Based Inference | sir distractors | Joint C2ST0.645 | 3 | |
| Simulation-Based Inference | sir | Joint C2ST0.647 | 3 | |
| Posterior Estimation | sir distractors | Joint C2ST0.599 | 3 | |
| Black-box optimization | SIR | Success Rate100 | 3 | |
| Time to Threshold Optimization | SIR epsilon=0.05 | Success Fraction100 | 3 | |
| Likelihood-free inference | SIR undercounting contamination model | Metric- | 0 |
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