Tensor ring decomposition employs a powerful technique for understanding high-order tensors. It expresses a tensor as a sum of smaller matrices, effectively simplifying its complexity. This factorization allows for efficient analysis and offers numerous utilization across various domains. … Read More

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 model complex data structures in a more compressed manner. This decomposition of dimensionality leads to significant ad… Read More