This paper concerns the structure of learned representations in txt-guided generative models, focusing on score-based models. A key property of such models is that they can compose disparate concepts in a'disentangled'manner. This suggests these …
A common tool in the practice of Markov Chain Monte Carlo is to use approximating transition kernels to speed up computation when the desired kernel is slow to evaluate or intractable. A limited set of quantitative tools exist to assess the relative …