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PDE Forecasting on Kuramoto-Sivashinsky (KS) L=22, σ=2.0

0.514Wasserstein DistanceSI
0.283281.840643.3984.95536Jun 30, 2026

Evaluation results

MethodLinks
SI2026.060.514
PDE-TFrollout=one step ahead2026.060.573
UNet2026.061.229
ResNet2026.061.366
UNet Mmethod=Monte Carlo dropout2026.062.118
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.062.801
PDE-Ttraining=MSE2026.066.282