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PDE Forecasting on Kuramoto-Sivashinsky (KS) L=66, σ=0.5

0.13Wasserstein DistanceSI
0.102960.285480.4680.65052Jun 30, 2026

Evaluation results

MethodLinks
SI2026.060.13
PDE-TFrollout=one step ahead2026.060.148
ResNet2026.060.161
UNet2026.060.172
PDE-Ttraining=MSE2026.060.267
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.060.749
UNet Mmethod=Monte Carlo dropout2026.060.806