Understanding Deep Generative Models with Generalized Empirical Likelihoods

Author:

Ravuri Suman1,Rey Mélanie1,Mohamed Shakir1,Deisenroth Marc Peter2

Affiliation:

1. DeepMind,London,UK

2. University College London,London,UK

Publisher

IEEE

Reference82 articles.

1. Diffusion models beat GANs on image synthesis;dhariwal;Advances in neural information processing systems,2021

2. Classification accuracy score for conditional generative models;ravuri;Advances in neural information processing systems,2019

3. CoinDICE: Off-policy confidence interval estimation;dai;Advances in neural information processing systems,2020

4. Learning implicit generative models with the method of learned moments;ravuri;Proceedings of the International Conference on Machine Learning,2018

5. Precision-recall curves using information divergence frontiers;djolonga;Proceedings of the International Conference on Artificial Intelligence and Statistics,2020

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