ResearchBenchmarksPDE Forecasting on Kolmogorov Flow ν=5e-4Follow0.0006Wasserstein DistancePDE-TF-0.0079160.04970.1073150.16493Jun 30, 2026Evaluation ResultsMethodMethodLinksWasserstein DistancePDE-TFrollout=one step aheadrollout=one step ahead2026.060.0006PDE-Ttraining=MSEtraining=MSE2026.060.0014SI2026.060.0016UNet2026.060.0017UNet Mmethod=Monte Carlo dro...method=Monte Carlo dropout2026.060.0032ResNet2026.060.165UNet Ploss=heteroscedastic G...loss=heteroscedastic Gaussian negative log likelihood2026.060.214