ResearchBenchmarksPDE Forecasting on Kolmogorov Flow ν=1e-3Follow0.0011Wasserstein DistanceSI-0.0048790.0352760.075430.115584Jun 30, 2026Evaluation ResultsMethodMethodLinksWasserstein DistanceSI2026.060.0011UNet2026.060.0018PDE-TFrollout=one step aheadrollout=one step ahead2026.060.0022UNet Mmethod=Monte Carlo dro...method=Monte Carlo dropout2026.060.0055PDE-Ttraining=MSEtraining=MSE2026.060.0126ResNet2026.060.122UNet Ploss=heteroscedastic G...loss=heteroscedastic Gaussian negative log likelihood2026.060.1498