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PDE Forecasting on Kuramoto-Sivashinsky (KS) L=66, σ=1.0

0.15Wasserstein DistanceSI
0.110960.374480.6380.90152Jun 30, 2026

Evaluation results

MethodLinks
SI2026.060.15
PDE-TFrollout=one step ahead2026.060.158
UNet2026.060.435
ResNet2026.060.443
PDE-Ttraining=MSE2026.060.457
UNet Mmethod=Monte Carlo dropout2026.061.025
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.061.126