Operator Learning on PDEBench CNS (η=1, ζ=0.01)
0.491L2REAOT-POT-S
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 0.491 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.655 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 0.943 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 1.41 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 1.46 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 1.61 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 1.67 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 1.68 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 1.85 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 1.95 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 2.04 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 2.26 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 2.38 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 2.8 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 3.23 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 3.37 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 3.77 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 3.95 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 3.97 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 4.2 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 5.2 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 6.25 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 9.6 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 10.8 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 29.1 |