Tensor ring decomposition represents a powerful technique for decomposing high-order tensors. It expresses a tensor as a product of smaller matrices, effectively simplifying its complexity. This representation allows for efficient analysis and offers numerous utilization across various domains. In the realm of artificial intelligence, tensor ring
Efficient Representation Learning with Tensor Rings
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 compressed manner. This compression of dimensionality leads to significant benefits in terms of space efficiency and computational s