NVIDIA Corporation
ENERGY-BASED VARIATIONAL AUTOENCODERS

Last updated:

Abstract:

One embodiment of the present invention sets forth a technique for generating data using a generative model. The technique includes sampling from one or more distributions of one or more variables to generate a first set of values for the one or more variables, where the one or more distributions are used during operation of one or more portions of the generative model. The technique also includes applying one or more energy values generated via an energy-based model to the first set of values to produce a second set of values for the one or more variables. The technique further includes either outputting the set of second values as output data or performing one or more operations based on the second set of values to generate output data.

Status:
Application
Type:

Utility

Filling date:

24 Jun 2021

Issue date:

31 Mar 2022