3 papers
cs.LG2025
Plastic tensor networks for interpretable generative modeling
Katsuya O. Akamatsu, Kenji Harada, Tsuyoshi Okubo +1
A structural optimization scheme for a single-layer nonnegative adaptive tensor tree (NATT) that models a target probability distribution is proposed as an alternative paradigm for…
cs.LG2025
Tensor tree learns hidden relational structures in data to construct generative models
Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima
Based on the tensor tree network with the Born machine framework, we propose a general method for constructing a generative model by expressing the target distribution function as…
cond-mat.str-el2025
TeNeS-v2: Enhancement for Real-Time and Finite Temperature Simulations of Quantum Many-Body Systems
Yuichi Motoyama, Tsuyoshi Okubo, Kazuyoshi Yoshimi +4
Quantum many-body systems are challenging targets for computational physics due to their large degrees of freedom. The tensor networks, particularly Tensor Product States (TPS) and…