公开(公告)号：US12158922B2

公开(公告)日：2024-12-03

申请号：US17169338

申请日：2021-02-05

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Pim De Haan ,  Maurice Weiler ,  Taco Sebastiaan Cohen ,  Max Welling

IPC: G06F17/10 ,  G06F17/14 ,  G06N3/08 ,  G06N7/01 ,  G06V10/426 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82

Abstract: Certain aspects of the present disclosure provide a method for performing machine learning, comprising: determining a plurality of vertices in a neighborhood associated with a mesh including a target vertex; determining a linear transformation configured to parallel transport signals along all edges in the mesh to the target vertex; applying the linear transformation to the plurality of vertices in the neighborhood to form a combined signal at the target vertex; determining a set of basis filters; linearly combining the basis filters using a set of learned parameters to form a gauge equivariant convolution filter, wherein the gauge equivariant convolution filter is constrained to maintain gauge equivariance; applying the gauge equivariant convolution filter to the combined signal to form an intermediate output; and applying a nonlinearity to the intermediate output to form a convolution output.