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.

Date of Patent:
Sep. 15, 2026

Filed:

Nov. 04, 2020
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Arash Vahdat, Mountain View, CA (US);

Jan Kautz, Lexington, MA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06N 3/0455 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/04 (2013.01); G06N 3/0455 (2023.01);
Abstract

One embodiment of the present invention sets forth a technique for performing machine learning. The technique includes inputting a training dataset into a variational autoencoder (VAE) comprising an encoder network, a prior network, and a decoder network. The technique also includes training the VAE by updating one or more parameters of the VAE based on a smoothness of one or more outputs produced by the VAE from the training dataset. The technique further includes producing generative output that reflects a first distribution of the training dataset by applying the decoder network to one or more values sampled from a second distribution of latent variables generated by the prior network.


Find Patent Forward Citations

Vahdat, Arash. (2026). Deep hierarchical variational autoencoder (U.S. Patent No. 12737608). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12737608

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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