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PDE Forecasting on Kuramoto-Sivashinsky (KS) L=66, σ=0.05

0.123Wasserstein DistanceResNet
0.092080.300790.50950.71821Jun 30, 2026

Evaluation results

MethodLinks
ResNet2026.060.123
SI2026.060.125
UNet2026.060.127
PDE-TFrollout=one step ahead2026.060.181
PDE-Ttraining=MSE2026.060.249
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.060.896