ResearchBenchmarksPDE Forecasting on Kuramoto-Sivashinsky (KS) L=22, σ=0.05Follow0.156Wasserstein DistanceResNet0.10420.453850.80351.15315Jun 30, 2026Evaluation ResultsMethodMethodLinksWasserstein DistanceResNet2026.060.156PDE-Ttraining=MSEtraining=MSE2026.060.161SI2026.060.163UNet2026.060.203UNet Mmethod=Monte Carlo dro...method=Monte Carlo dropout2026.060.715UNet Ploss=heteroscedastic G...loss=heteroscedastic Gaussian negative log likelihood2026.060.821PDE-TFrollout=one step aheadrollout=one step ahead2026.061.451