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

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