The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 09, 2024
Filed:
May. 22, 2020
Royal Bank of Canada, Toronto, CA;
Yu Gong, Vancouver, CA;
Jiawei He, Vancouver, CA;
Thibaut Durand, Vancouver, CA;
Megha Nawhal, Vancouver, CA;
Yanshuai Cao, Toronto, CA;
Gregory Mori, Vancouver, CA;
Seyed Hossein Hajimirsadeghi, Vancouver, CA;
ROYAL BANK OF CANADA, Toronto, CA;
Abstract
Variational Autoencoders (VAEs) have been shown to be effective in modeling complex data distributions. Conventional VAEs operate with fully-observed data during training. However, learning a VAE model from partially-observed data is still a problem. A modified VAE framework is proposed that can learn from partially-observed data conditioned on the fully-observed mask. A model described in various embodiments is capable of learning a proper proposal distribution based on the missing data. The framework is evaluated for both high-dimensional multimodal data and low dimensional tabular data.