annealed-importance-sampling

This paper proposes using Annealed Importance Sampling to evaluate log-likelihoods for decoder-based generative models (VAEs, GANs, etc.), addressing the challenge of intractable likelihood estimation. The authors validate their method and provide evaluation code to analyze model performance, overfitting, and mode coverage.