Tensor ring decomposition is a powerful technique for understanding high-order tensors. It expresses a tensor as a product of smaller matrices, effectively reducing its complexity. This representation allows for efficient computation and offers numerous implementations across various domains. In the realm of machine learning, tensor ring decomposi

Tensor rings provide a novel and powerful framework for effective 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 decomposition of dimensionality leads to significant advantages in terms of storage efficiency and infer