System and Method for Constructing Neural Networks Equivariant to Arbitrary Matrix Groups Using Group Representations and Equivariant Tensor Fusion
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United States of America
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Mar 20, 2025
app pub date -
Feb 28, 2024
filing date -
Feb 28, 2024
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Abstract
A robust machine learning system is provided for robust machine learning. The robust machine learning system includes a processor, and a memory storing a robust machine learning program and a Group Representation Network (GRepsNet), wherein the robust machine learning program runining on the processor. In this case the processor is configured to receive an input dataset represented by a first group representation via input layers connected to the GrepsNet, pass/transmit the input dataset through the GRepsNet configured to generate an output dataset represented by an output group representation from the input dataset, wherein the output group is equivalent to the first group, and generate the output dataset from output layers connected to the GRepsNet.
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