Operator Learning on PDEArena NS
2.36L2REAOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 2.36 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 2.91 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 2.94 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 3.13 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 4.4 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 7.75 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 7.84 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 8.12 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 8.39 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 8.56 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 8.67 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 9.1 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 9.12 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 9.36 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 9.52 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 9.85 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 9.85 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 9.91 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 10.2 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 10.6 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 12.5 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 13.4 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 13.5 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 17.2 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 21 |