Normalizing Flows: Enhancing Likelihood Estimation
Likelihood estimation is a fundamental task in many statistical models, including generative models and probabilistic inference. Normalizing flows are a powerful class of generative models that have emerged as a promising approach to likelihood estimation. They offer the ability to transform complex distributions into simpler ones, making it easier to compute the likelihood of data. … Read more