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PDE Forecasting on Kolmogorov Flow ν=1e-4
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0.0007
Wasserstein Distance
SI
-0.006049
0.039371
0.08479
0.130209
Jun 30, 2026
Wasserstein Distance
Updated 24d ago
Evaluation Results
Method
Method
Links
Wasserstein Distance
SI
2026.06
0.0007
PDE-TF
rollout=one step ahead
2026.06
0.0008
UNet
2026.06
0.0012
PDE-T
training=MSE
2026.06
0.0127
UNet M
method=Monte Carlo dro...
2026.06
0.0809
ResNet
2026.06
0.163
UNet P
loss=heteroscedastic G...
2026.06
0.1689
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