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PDE Forecasting on Kolmogorov Flow ν=1e-3
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0.0011
Wasserstein Distance
SI
-0.004879
0.035276
0.07543
0.115584
Jun 30, 2026
Wasserstein Distance
Updated 24d ago
Evaluation Results
Method
Method
Links
Wasserstein Distance
SI
2026.06
0.0011
UNet
2026.06
0.0018
PDE-TF
rollout=one step ahead
2026.06
0.0022
UNet M
method=Monte Carlo dro...
2026.06
0.0055
PDE-T
training=MSE
2026.06
0.0126
ResNet
2026.06
0.122
UNet P
loss=heteroscedastic G...
2026.06
0.1498
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