Flow-based generative model

HOW IT IS BUILT The methods behind it Drug design Molecular geometry WHAT IT CAN DO Its core abilities WHERE IT IS USED — · — — · — FGM learns · reasons · acts
How it's built
What it can do
Where it's used

A flow-based generative model is a machine learning system that learns to generate new data by transforming simple, random noise into complex, realistic samples through a series of invertible transformations. Unlike some other generative models that work with hidden codes, flow-based models explicitly track how prob…