A friendly introduction to triangular transport
Triangular transport is a framework to transform one probability distribution into another by mapping samples from a simpler reference distribution to the complex target distribution. This allows researchers to characterize complex targets by transforming them into a known, simpler reference, which is useful for Bayesian inference and generative modeling.