Operator Learning on PDEBench CNS (η=0.1, ζ=0.01)
0.0032L2 Relative ErrorAOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 0.0032 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 0.0036 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0039 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 0.009 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 0.0095 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 0.0095 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 0.0097 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 0.0118 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 0.0121 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 0.0126 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 0.0129 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.013 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 0.0131 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0138 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 0.0181 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 0.0188 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 0.0205 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 0.0215 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.022 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 0.0341 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 0.0366 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 0.0452 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.076 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 0.17 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 0.357 |