公开(公告)号：US20220101145A1

公开(公告)日：2022-03-31

申请号：US17357738

申请日：2021-06-24

Applicant: NVIDIA CORPORATION

Inventor： Arash VAHDAT ,  Karsten KREIS ,  Zhisheng XIAO ,  Jan KAUTZ

IPC: G06N3/08 ,  G06N3/04

Abstract: One embodiment sets forth a technique for creating a generative model. The technique includes generating a trained generative model with a first component that converts data points in the training dataset into latent variable values, a second component that learns a distribution of the latent variable values, and a third component that converts the latent variable values into output distributions. The technique also includes training an energy-based model to learn an energy function based on values sampled from a first distribution associated with the training dataset and values sampled from a second distribution during operation of the trained generative model. The technique further includes creating a joint model that includes one or more portions of the trained generative model and the energy-based model, and that applies energy values from the energy-based model to samples from the second distribution to produce additional values used to generate a new data point.

公开(公告)号：US20220101122A1

公开(公告)日：2022-03-31

申请号：US17357728

申请日：2021-06-24

Applicant: NVIDIA CORPORATION

Inventor： Arash VAHDAT ,  Karsten KREIS ,  Zhisheng XIAO ,  Jan KAUTZ

IPC: G06N3/08 ,  G06N3/04 ,  G06K9/00

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.