Research map / Probabilistic and scientific modeling / Dynamical systems
Learning unknown ODE models with Gaussian processes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use npODE instead of GPDM | CMU mocap forecasting · CMU mocap, forecasting | RMSE: 4.94 ± 3.3 -> 4.52 ± 2.31 | Helped |
| Use npODE instead of VGPLVM | CMU mocap forecasting · CMU mocap, forecasting | RMSE: 8.74 ± 3.43 -> 4.52 ± 2.31 | Helped |
| Use npODE instead of GPDM | CMU mocap imputation · CMU mocap, imputation | RMSE: 5.31 ± 3.39 -> 3.94 ± 3.50 | Helped |
| Use npODE instead of VGPLVM | CMU mocap imputation · CMU mocap, imputation | RMSE: 3.91 ± 1.80 -> 3.94 ± 3.50 | No clear effect |
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