Reviews: Adaptive Density Estimation for Generative Models
–Neural Information Processing Systems
This paper proposes a new hybrid generative model, combining a maximum-likelihood approach with GANs. The authors are to be commended for their practical and conceptually interesting work. In the final version, the paper would also benefit from a discussion of [1], related work that introduces an alternative maximum likelihood perspective of GANs, and provides Bayesian generalizations.
Neural Information Processing Systems
Jan-25-2025, 20:17:35 GMT
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