Research map / Probabilistic and scientific modeling / Differential equations and PDEs
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add motion-field regularization (divergence, magnitude, and smoothness penalties) (ablation) | Proposed model · SST test data (forecast horizon 6) | MSE: 2.01 -> 1.42 | Helped |
| Use Laplacian pyramid loss (ablation) | Proposed model · SST prediction validation/generalization | generalization performance | Hurt |
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