List your company

PDE Forecasting on Kuramoto-Sivashinsky (KS) L=22, σ=0.05

0.156Wasserstein DistanceResNet
0.10420.453850.80351.15315Jun 30, 2026

Evaluation results

MethodLinks
ResNet2026.060.156
PDE-Ttraining=MSE2026.060.161
SI2026.060.163
UNet2026.060.203
UNet Mmethod=Monte Carlo dropout2026.060.715
UNet Ploss=heteroscedastic Gaussian negative log likelihood2026.060.821
PDE-TFrollout=one step ahead2026.061.451