Operator Learning on FNO-ν (1e-4)
0.0061L2REAOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 0.0061 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 0.0076 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 0.0119 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 0.0126 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0158 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 0.0221 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 0.0237 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 0.0257 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 0.0273 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 0.0285 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 0.0333 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 0.0352 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0367 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 0.0417 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0438 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 0.0442 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 0.0443 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 0.0503 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 0.0588 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0606 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 0.0645 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 0.0792 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 0.0834 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0922 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 0.119 |