Exploring the Faithfulness of Synthetic Data by Generative Models
Author:
Affiliation:
1. Università della Campania “L.Vanvitelli”,Dept. of Maths and Physics,Caserta,Italy
2. CYBHORUS s.r.l. Viale A. Gramsci,Napoli,Italy,1580122
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459730.pdf?arnumber=10459730
Reference17 articles.
1. An Introduction to Variational Autoencoders
2. Adversarial autoencoders;Makhzani;arXiv preprint,2015
3. Faithfulness of probability distributions and graphs;Sadeghi;Journal of Machine Learning Research,2017
4. An informational distance for estimating the faithfulness of a possibility distribution, viewed as a family of probability distributions, with respect to data
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