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PDE Forecasting on Kuramoto-Sivashinsky (KS) L=66, σ=2.0

0.226Wasserstein DistanceSI
0.159760.606881.0541.50112Jun 30, 2026

Evaluation results

MethodLinks
SI2026.060.226
PDE-TFrollout=one step ahead2026.060.282
PDE-Ttraining=MSE2026.060.576
UNet2026.060.975
ResNet2026.061.189
UNet Mmethod=Monte Carlo dropout2026.061.316
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.061.882