Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen Simon Fraser University Jialin Song

Extensive empirical evaluations on a diverse set of PDEs demonstrate that our method is highly data-efficient, more gener-alizable, and even outperforms conventional vision-pretrained models.