
The core message of this work is to propose a novel multi-resolution active learning method, called MRA-FNO, that can dynamically select the most valuable input functions and resolutions to train Fourier neural operators (FNOs) efficiently while significantly reducing the data collection cost.


coremsg

multi-resolution-active-learning-for-efficient-training-of-fourier-neural-operators


Multi-Resolution Active Learning for Efficient Training of Fourier Neural Operators
