What is latent representation?

INTRODUCTION. Latent representation learning (LRL), also known as latent variable modelling (LVM), is a machine learning approach used to infer latent variables from empirical observations. Latent variables are variables that cannot be directly measured and must therefore be inferred from empirical measures.