ResearchBenchmarksPDE Forecasting on Kuramoto-Sivashinsky (KS) L=22, σ=1.0Follow0.311Wasserstein distanceSI0.262640.589070.91551.24193Jun 30, 2026Evaluation ResultsMethodMethodLinksWasserstein distanceSI2026.060.311UNet2026.060.324PDE-TFrollout=one step aheadrollout=one step ahead2026.060.34PDE-Ttraining=MSEtraining=MSE2026.060.387ResNet2026.060.438UNet Mmethod=Monte Carlo dro...method=Monte Carlo dropout2026.061.37UNet Ploss=heteroscedastic G...loss=heteroscedastic Gaussian negative log likelihood2026.061.52