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PDE Forecasting on Kolmogorov Flow ν=1e-3

0.0011Wasserstein DistanceSI
-0.0048790.0352760.075430.115584Jun 30, 2026

Evaluation results

MethodLinks
SI2026.060.0011
UNet2026.060.0018
PDE-TFrollout=one step ahead2026.060.0022
UNet Mmethod=Monte Carlo dropout2026.060.0055
PDE-Ttraining=MSE2026.060.0126
ResNet2026.060.122
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.060.1498