KS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multimodal Classification | KS (test) | Accuracy71.35 | 48 | |
| Action Recognition | KS | Accuracy91.12 | 15 | |
| Multimodal Classification | KS | Accuracy75.41 | 12 | |
| Statistical Emulation of Chaotic Systems | KS single-traj (Noisy (sigma = 0.3)) | L1 Histogram Distance0.259 | 9 | |
| PDE regression | KS (test) | NMSE (Test)0.0023 | 9 | |
| PDE Rollout Prediction | KS trajectory set (test) | Relative H1 Error40.55 | 8 | |
| PDE Rollout Simulation | KS (test) | Relative L2 Error (Rollout)0.382 | 8 | |
| Time-series prediction | KS (test) | MSE0.28 | 5 | |
| Conservation-law discovery | ks (test) | F1 Score67 | 4 | |
| Long-horizon forecasting | KS (test) | ∆RMSE (%)0 | 3 | |
| Timestepping | KS | NMSE0.381 | 2 | |
| Equation parameter regression | KS | NMSE0.042 | 2 | |
| Autoregressive rollout | KS (test) | Metric- | 0 | |
| Forecasting | KS (test) | Metric- | 0 |
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