Duality of graphical models and tensor networks

DOI10.1093/imaiai/iay009zbMath1470.05120arXiv1710.01437OpenAlexW2963741498WikidataQ129772458 ScholiaQ129772458MaRDI QIDQ5006492

Elina Robeva, Anna Leah Seigal

Publication date: 16 August 2021

Published in: Information and Inference: A Journal of the IMA (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.01437

zbMATH Keywords

hypergraphsgraphical modelstensor networksbelief propagation

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Hypergraphs (05C65) Quantum computation (81P68)

Related Items (11)

Orthogonal decomposition of tensor trains ⋮ The set of orthogonal tensor trains ⋮ Dimension of tensor network varieties ⋮ The YODO algorithm: an efficient computational framework for sensitivity analysis in Bayesian networks ⋮ Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems ⋮ High-dimensional density estimation with tensorizing flow ⋮ Lower bounds on the rank and symmetric rank of real tensors ⋮ On some general operators of hypergraphs ⋮ Unnamed Item ⋮ Unnamed Item ⋮ The linear span of uniform matrix product states

This page was built for publication: Duality of graphical models and tensor networks