Operator Learning on PDEArena NS-cond
0.152L2REAOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 0.152 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 0.163 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 0.17 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 0.172 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.218 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 0.242 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 0.259 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 0.261 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 0.262 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 0.263 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 0.268 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 0.276 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.28 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 0.298 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 0.316 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 0.319 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 0.325 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 0.332 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 0.337 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.345 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 0.367 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.384 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.384 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 0.423 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 0.602 |