2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
NeurIPS 2024poster
Recent years have witnessed the promise of coupling machine learning methods and physical domain-specific insights for solving scientific problems based on partial differential equations (PDEs). However, being data-intensive, these methods still require a large amount of PDE data. This reintroduces…