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cs.LG2024
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection
Giorgos Iacovides, Wuyang Zhou, Danilo Mandic
We propose a novel framework that leverages large language models (LLMs) to guide the rank selection in tensor network models for higher-order data analysis. By utilising the intri…
eess.IV2024
Tensor Star Tensor Decomposition and Its Applications to Higher-order Compression and Completion
Wuyang Zhou, Yu-Bang Zheng, Qibin Zhao +1
A novel tensor decomposition framework, termed Tensor Star (TS) decomposition, is proposed which represents a new type of tensor network decomposition based on tensor contractions.…