2023
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
AAAI 2023technical
In the scope of "AI for Science", solving inverse problems is a longstanding challenge in materials and drug discovery, where the goal is to determine the hidden structures given a set of desirable properties. Deep generative models are recently proposed to solve inverse problems, but these are curr…