activity
20212026
most citedEfficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

9 citations · 21 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025

Derivative-Informed Fourier Neural Operator: Universal Approximation and Applications to PDE-Constrained Optimization

Boyuan Yao, Dingcheng Luo, Lianghao Cao +3

We present approximation theories and efficient training methods for derivative-informed Fourier neural operators (DIFNOs) with applications to PDE-constrained optimization. A DIFN…