2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng, Chao Li, Zhun Sun +2
Tensor networks are efficient for extremely high-dimensional representation, but their model selection, known as tensor network structure search (TN-SS), is a challenging problem.…
cs.LG2023★ 2 cited
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
Chao Li, Junhua Zeng, Chunmei Li +2
Tensor network (TN) is a powerful framework in machine learning, but selecting a good TN model, known as TN structure search (TN-SS), is a challenging and computationally intensive…
cs.LG2023
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng +4
Tensor network (TN) representation is a powerful technique for computer vision and machine learning. TN structure search (TN-SS) aims to search for a customized structure to achiev…