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. In the realm of artificial intelligence, tensor rin

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 improvements in terms of space efficiency and computati