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 reducing its complexity. This factorization allows for efficient computation and offers numerous implementations across various domains. In the realm of artificial intelligence, tensor r

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 capture complex data structures in a more sparse manner. This compression of dimensionality leads to significant improvements in terms of storage efficiency and processing sp