Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Short summary

Tensor networks, specifically Tucker and tensor train (TT) decompositions, offer a novel approach to dimensionality reduction and large-scale optimization by leveraging low-rank approximations to combat the curse of dimensionality.

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