Solving Bayesian Inverse Problems via Variational Autoencoders. - Hwan Goh; Sheroze Sheriffdeen; Jonathan Wittmer; Tan Bui-Thanh (MSML, 2021)

DIAS: A Data-Informed Active Subspace Regularization Framework for Inverse Problems. - Hai Van Nguyen; Jonathan Wittmer; Tan Bui-Thanh (Comput., 2022)

On Unifying Randomized Methods For Inverse Problems. - Jonathan Wittmer; C. G. Krishnanunni; Hai Van Nguyen; Tan Bui-Thanh (CoRR, 2023)

An autoencoder compression approach for accelerating large-scale inverse problems. - Jonathan Wittmer; Jacob C. Badger; Hari Sundar; Tan Bui-Thanh (CoRR, 2023)