| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Synthetic dataset | GIC | RE1 | 50 | 1mo ago | |
| RLC (test) | MSE (x10^2)0.176 | 16 | 1mo ago | ||
| RLC (train) | MSE (x10^2)0.107 | 16 | 1mo ago | ||
| W-H (test) | MSE (x10^2)0.372 | 16 | 1mo ago | ||
| W-H (train) | MSE (x10^2)0.063 | 16 | 1mo ago | ||
| Silver-Box (test) | TBP m* | MSE (x10^2)0.112 | 16 | 1mo ago | |
| Silver-Box (train) | MSE0.3 | 16 | 1mo ago | ||
| System Identification Dataset Gaussian Noise | Bayesian SysID framework | Identification Error2 | 12 | 1mo ago | |
| Synthetic dataset | PhysFlow | Rel Error (delta_mu)0.004 | 12 | 1mo ago | |
| Sparse System Identification Simulation 30,000 samples 50 Monte Carlo trials | Runtime0.1872 | 10 | 1mo ago | ||
| Synthetic second-order ODE Extrapolation | PATHREG | MSE0.0004 | 6 | 1mo ago | |
| Synthetic second-order ODE (train) | PATHREG | MSE0.0001 | 6 | 1mo ago | |
| LTV System Identification t=[0,100] (test) | LGN-SD | NRMSE0.037 | 5 | 19d ago | |
| Pendulum (test) | DR-CNP+ | Average MSE0.72 | 5 | 1mo ago | |
| 50-section RLC ladder (100D) (test) | Mean Re(λ)-0.018 | 4 | 19d ago | ||
| Lotka-Volterra System 5% noise | BLADE | MSE7.977 | 3 | 5d ago | |
| Lorenz System 5% noise | BLADE | MSE156.4 | 3 | 5d ago | |
| RLC circuit | LGN | NRMSE2 | 3 | 19d ago | |
| LC circuit | LGN | NRMSE1.6 | 3 | 19d ago |
