Operator Learning on FNO-ν 1e-3
0.0018L2REAOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 0.0018 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 0.0022 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 0.0024 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0028 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 0.0029 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 0.0031 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 0.0034 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 0.0042 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 0.0044 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 0.0044 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 0.0047 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 0.0055 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0058 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.006 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 0.009 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0095 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 0.0098 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 0.0099 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 0.0104 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 0.0125 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 0.0126 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 0.0128 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 0.0131 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0156 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 0.0245 |