Operator Learning on FNO-ν 1e-5
1.45L2 Relative ErrorAOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 1.45 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 2.23 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 2.29 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 2.39 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 3.02 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 3.12 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 3.22 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 3.55 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 3.76 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 3.85 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 4.09 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 5.2 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 5.27 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 5.53 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 5.88 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 6.1 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 9.65 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 9.76 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 11.6 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 12.1 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 13.4 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 15.6 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 15.7 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 17.1 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 19.8 |