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ResearchFormerly WizWand

Operator Learning on PDEBench CNS (η=1, ζ=0.01)

0.491L2REAOT-POT-S
-0.653367.0710714.795522.51993May 15, 2026
Updated 6mo ago

Evaluation results

MethodLinks
AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.050.491
AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.050.655
AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.050.943
MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.051.41
DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.051.46
MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.051.61
DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.051.67
AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.051.68
MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.051.85
DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.051.95
AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.052.04
MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.052.26
DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.052.38
AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.052.8
MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.053.23
DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.053.37
GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.053.77
MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.053.95
DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.053.97
GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.054.2
FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.055.2
OformerParams=1.9M, Evaluation Protocol=Individually trained2026.056.25
FNOParams=0.5M, Evaluation Protocol=Individually trained2026.059.6
FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.0510.8
UNetParams=25M, Evaluation Protocol=Individually trained2026.0529.1