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PDE Forecasting on Kolmogorov Flow ν=5e-4
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0.0006
Wasserstein Distance
PDE-TF
-0.007916
0.0497
0.107315
0.16493
Jun 30, 2026
Wasserstein Distance
Updated 24d ago
Evaluation Results
Method
Method
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Wasserstein Distance
PDE-TF
rollout=one step ahead
2026.06
0.0006
PDE-T
training=MSE
2026.06
0.0014
SI
2026.06
0.0016
UNet
2026.06
0.0017
UNet M
method=Monte Carlo dro...
2026.06
0.0032
ResNet
2026.06
0.165
UNet P
loss=heteroscedastic G...
2026.06
0.214
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