Lorenz-63
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Dynamical systems reconstruction | Lorenz-63 3d | Dstsp0.23 | 23 | |
| Forecasting | Lorenz-63 20% Noise (test) | Mean VPT0.06 | 8 | |
| Forecasting | Lorenz-63 10% Noise (test) | Mean VPT0.24 | 8 | |
| Forecasting | Lorenz-63 5% Noise (test) | Mean VPT0.55 | 8 | |
| Forecasting | Lorenz-63 1% Noise (test) | Mean VPT1.83 | 8 | |
| State Estimation | Lorenz-63 1000 length 50 trajectories | RMSE2.7473 | 5 | |
| Bayesian Filtering | Lorenz’63 first component observed | SKILL3.76 | 5 | |
| Bayesian Filtering | Lorenz’63 first and last components observed | SKILL2.18 | 5 | |
| Chaotic trajectory prediction | Lorenz-63 Monte Carlo Trials (N=100) | MSE Loss0.7 | 3 | |
| Long-term prediction of chaotic dynamics | Lorenz '63 trajectories (test) | Metric- | 0 |
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