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PDE Forecasting on Kolmogorov Flow ν=5e-4

0.0006Wasserstein DistancePDE-TF
-0.0079160.04970.1073150.16493Jun 30, 2026

Evaluation results

MethodLinks
PDE-TFrollout=one step ahead2026.060.0006
PDE-Ttraining=MSE2026.060.0014
SI2026.060.0016
UNet2026.060.0017
UNet Mmethod=Monte Carlo dropout2026.060.0032
ResNet2026.060.165
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.060.214