TENSOR RING DECOMPOSITION AND ITS APPLICATIONS

Tensor ring decomposition employs a powerful technique for decomposing high-order tensors. It expresses a tensor as a combination of smaller matrices, effectively simplifying its complexity. This decomposition allows for efficient analysis and offers numerous utilization across various domains. In the realm of data science, tensor ring decompositi

Tensor rings provide a novel and powerful framework for optimal representation learning. By decomposing high-order tensors into a sum of lower-rank tensors, tensor ring models represent complex data structures in a more sparse manner. This compression of dimensionality leads to significant advantages in terms of storage efficiency and inference spe