Probabilistic Inference in the Era of Tensor Networks and Differential Programming

Martin Roa-Villescas, Xuanzhao Gao, Sander Stuijk +2

Probabilistic inference is a fundamental task in modern machine learning. Recent advances in tensor network (TN) contraction algorithms have enabled the development of better exact…