Jun 28, 2018 · We propose a method of moments (MoM) algorithm for training large-scale implicit generative models. Moment estimation in this setting encounters two problems.
We propose a method of moments (MoM) algo- rithm for training large-scale implicit generative models. Moment estimation in this setting en- counters two ...
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It is demonstrated that MoLM-trained generators achieve significantly higher Inception Scores and lower Frechet Inception Distances than those trained with ...
We propose a method of moments (MoM) algorithm for training large-scale implicit generative models. Moment estimation in this setting encounters two ...
Jun 28, 2018 · We show that implicit generative models trained with our algorithm, the Method of Learned Moments, generate samples that are as good as, or ...
A.1. Experimental Setup. As mentioned in the main text, unless otherwise noted, gen- erators use the standard DCGAN architecture with 4×4 kernels.
Learning Implicit Generative Models with the Method of Learned Moments. Implementation of https://arxiv.org/pdf/1806.11006.pdf.
Learning implicit generative models with the method of learned moments. In Proceedings of the 35th In- ternational Conference on Machine Learning, pages 4311–.
We develop likelihood-free inference methods and highlight hypothesis testing as a principle for learning in implicit generative models, using which we are able ...
This work develops likelihood-free inference methods and highlight hypothesis testing as a principle for learning in implicit generative models, ...