EFFICIENT REPRESENTATION LEARNING WITH TENSOR RINGS

Tensor rings provide a novel and powerful framework for efficient 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 decomposition of dimensionality leads to significant advantages in terms of memory efficiency and inferenc