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PDE Forecasting on Kuramoto-Sivashinsky (KS) L=22, σ=1.0

0.311Wasserstein distanceSI
0.262640.589070.91551.24193Jun 30, 2026

Evaluation results

MethodLinks
SI2026.060.311
UNet2026.060.324
PDE-TFrollout=one step ahead2026.060.34
PDE-Ttraining=MSE2026.060.387
ResNet2026.060.438
UNet Mmethod=Monte Carlo dropout2026.061.37
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.061.52