Tensor ring decomposition represents a powerful technique for decomposing high-order tensors. It expresses a tensor as a product of smaller matrices, effectively reducing its complexity. This decomposition allows for efficient processing and offers numerous implementations across various domains. I
Efficient Representation Learning with Tensor Rings
Tensor rings provide a novel and powerful framework for efficient representation learning. By decomposing high-order tensors into a sum of lower-rank tensors, tensor ring models represent complex data structures in a more compressed manner. This reduction of dimensionality leads to significant impro