ResearchBenchmarksPDE Forecasting on Kolmogorov Flow ν=1e-4Follow0.0007Wasserstein DistanceSI-0.0060490.0393710.084790.130209Jun 30, 2026Evaluation ResultsMethodMethodLinksWasserstein DistanceSI2026.060.0007PDE-TFrollout=one step aheadrollout=one step ahead2026.060.0008UNet2026.060.0012PDE-Ttraining=MSEtraining=MSE2026.060.0127UNet Mmethod=Monte Carlo dro...method=Monte Carlo dropout2026.060.0809ResNet2026.060.163UNet Ploss=heteroscedastic G...loss=heteroscedastic Gaussian negative log likelihood2026.060.1689