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PDE Forecasting on Kuramoto-Sivashinsky (KS) L=22, σ=0.5

0.188Wasserstein DistanceSI
0.156560.368780.5810.79322Jun 30, 2026

Evaluation results

MethodLinks
SI2026.060.188
PDE-TFrollout=one step ahead2026.060.212
UNet2026.060.221
PDE-Ttraining=MSE2026.060.253
ResNet2026.060.296
UNet Mmethod=Monte Carlo dropout2026.060.816
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.060.974