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ResearchFormerly WizWand

Operator Learning on CFDBench

0.0022L2REAOT-POT-M
-0.0061140.0497330.105580.161427May 15, 2026
Updated 5mo ago

Evaluation results

MethodLinks
AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.050.0022
AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.050.0024
AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.050.003
DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.050.0037
DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.050.0038
DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.050.0039
MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.050.004
MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.050.0041
MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.050.0042
AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.050.0049
AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.050.0054
DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.050.007
FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.050.0071
MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.050.0075
DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.050.0075
FNOParams=0.5M, Evaluation Protocol=Individually trained2026.050.0076
AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.050.0078
MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.050.0082
GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.050.0088
DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.050.0095
OformerParams=1.9M, Evaluation Protocol=Individually trained2026.050.0102
MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.050.0103
GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.050.0105
FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.050.0274
UNetParams=25M, Evaluation Protocol=Individually trained2026.050.209