5 citations · 13 across the 6 of their papers we have counts for
4 papers · 1 filter
Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data
Bosu Choi, Jihun Han, Yoonsang Lee
Regularization is a critical technique for ensuring well-posedness in solving inverse problems with incomplete measurement data. Traditionally, the regularization term is designed…
Designing Neural Networks for Hyperbolic Conservation Laws
Zhen Chen, Anne Gelb, Yoonsang Lee
We propose a new data-driven method to learn the dynamics of an unknown hyperbolic system of conservation laws using deep neural networks. Inspired by classical methods in numerica…
Sampling error correction in ensemble Kalman inversion
Yoonsang Lee
Ensemble Kalman inversion is a parallelizable derivative-free method to solve inverse problems. The method uses an ensemble that follows the Kalman update formula iteratively to so…
regularization for ensemble Kalman inversion
Yoonsang Lee
Ensemble Kalman inversion (EKI) is a derivative-free optimization method that lies between the deterministic and the probabilistic approaches for inverse problems. EKI iterates the…