Flow-based generative models for amortized Bayesian inference in regression and inverse PDE problems

Shaoqian Zhou, Ling Guo, Xuhui Meng

Bayesian inference provides a principled framework for uncertainty quantification in scientific machine learning. However, conventional Bayesian approaches usually require solving…