2022
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs
NeurIPS 2022accept
This work discusses tensor network embeddings, which are random matrices ($S$) with tensor network structure. These embeddings have been used to perform dimensionality reduction of tensor network structured inputs $x$ and accelerate applications such as tensor decomposition and kernel regression. Ex…