US11664819B2 - Homogenizing data sparsity using a butterfly multiplexer - Google Patents
US11664819B2 - Homogenizing data sparsity using a butterfly multiplexer - Google Patents …

A system includes a plurality of graph convolutional net works corresponding to a plurality of
time steps, each network modelling a graph including nodes and edges, and in turn …

A neural network learning device includes a learning unit configured to perform a learning
process that learns a neural network using a plurality of learning data sets. The learning …

There is provided an image processing apparatus that includes an ML3D model generation
section, which are applicable to a home server that generates a display image of a …

A method for generating a target network by performing neural architecture search using
optimized search space is provided. The method includes steps of: a computing device (a) if …

A method of determining the topology of a portion of the electrical distribution grid such as a
feeder based on voltage and current measurements. The method employs Bayesian-based …

There is provided a transaction system that includes a plurality of computing nodes that are
mutually interconnected via a data communication network to exchange encrypted data …

Embodiments of the present invention enable a comparison of different machine-learning
models based on a single neural network design may be provided. A deep learning …

Systems and methods perform non-parametric texture synthesis of arbitrary shape and/or
material data taken from an exemplar object in accordance with embodiments of the …

Aspects of the present disclosure provide techniques for machine learning and rules
integration. Embodiments include receiving input values corresponding to a subset of a set …