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ResearchFormerly WizWand

Operator Learning on PDEBench CNS (η=1, ζ=0.1)

0.0043L2REAOT-POT-S
-0.0089190.0801080.1691350.258162May 15, 2026
Updated 5mo ago

Evaluation results

MethodLinks
AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.050.0043
AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.050.0049
AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.050.0051
AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.050.0077
AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.050.0091
MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.050.0096
DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.050.01
MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.050.0108
AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.050.011
MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.050.0112
DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.050.0112
DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.050.0116
MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.050.0122
DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.050.0129
MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.050.0143
DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.050.0153
MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.050.016
DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.050.0173
FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.050.0212
GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.050.0325
GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.050.0341
OformerParams=1.9M, Evaluation Protocol=Individually trained2026.050.0417
FNOParams=0.5M, Evaluation Protocol=Individually trained2026.050.098
FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.050.151
UNetParams=25M, Evaluation Protocol=Individually trained2026.050.334