3 papers
cs.LG2025
Instance-Wise Adaptive Sampling for Dataset Construction in Approximating Inverse Problem Solutions
Jiequn Han, Kui Ren, Nathan Soedjak
We propose an instance-wise adaptive sampling framework for constructing compact and informative training datasets for supervised learning of inverse problem solutions. Typical lea…
physics.optics2024
Phase retrieval via media diversity
Yan Cheng, Kui Ren, Nathan Soedjak
This work studies phase retrieval for wave fields, aiming to recover the phase of an incoming wave from multi-plane intensity measurements behind different types of linear and nonl…
math.OC2024
A Policy Iteration Method for Inverse Mean Field Games
Kui Ren, Nathan Soedjak, Shanyin Tong
We propose a policy iteration method to solve an inverse problem for a mean-field game (MFG) model, specifically to reconstruct the obstacle function in the game from the partial o…