Supervised machine learning using neural networks is applied to denoising images
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …

Computer systems and methods generate a stochastic categorical autoencoder learning
network (SCAN). The SCAN is trained to have an encoder network that outputs, subject to …

In one embodiment, a method includes selecting a set of logged user-initiated events of a
user. The method further includes determining timing information, device-identification …

Embodiments described herein provide various examples of a face-image training data
preparation system for perform ing large-scale face-image training data acquisition, prepro …

The invention relates to a method comprising receiving, by a neural network, a first image
comprising at least one target object; receiving, by the neural network, a second image …

Supervised machine learning using neural networks is applied to denoising images
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …

A computer-implemented method and a system for training a computer-based autonomous
driving model used for an autonomous driving operation by an autonomous vehicle are …

Supervised machine learning using neural networks is applied to denoising images
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …

Abstract Systems and techniques for scene classification and prediction is provided herein.
A first series of image frames of an environment from a moving vehicle may be captured …

Described herein are systems and methods for a general, scalable, end-to-end framework
that uses a generative adver sarial network (GAN) objective to enable robust speech …