Modern latent variable models, such as invertible models or normalizing flows, are instrumental in the landscape of generative modeling due to their unique ability to balance expressiveness and tractability. This balance is achieved through a combination of mathematical rigor and innovative architectural design, which allows for the precise modeling of complex data distributions while maintaining