Operator Learning on PDEBench CNS (η=0.1, ζ=0.1)
0.0079L2 Relative Error (L2RE)AOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 0.0079 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 0.0083 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 0.0083 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 0.0087 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0088 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 0.0091 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 0.0113 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 0.0119 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.012 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 0.0126 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0132 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 0.0145 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 0.0152 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 0.0152 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 0.0158 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 0.0161 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 0.0163 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0174 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 0.0228 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 0.0254 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 0.0274 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 0.162 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.23 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 0.36 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 0.569 |