Supervised Learning with Tensor Networks. - Edwin Miles Stoudenmire; David J. Schwab (NIPS, 2016)

Supervised Learning with Quantum-Inspired Tensor Networks. - E. Miles Stoudenmire; David J. Schwab (CoRR, 2016)

Learning Relevant Features of Data with Multi-scale Tensor Networks. - E. Miles Stoudenmire (CoRR, 2018)

Towards Quantum Machine Learning with Tensor Networks. - William J. Huggins; Piyush Patel; K. Birgitta Whaley; E. Miles Stoudenmire (CoRR, 2018)

A Multi-Scale Tensor Network Architecture for Classification and Regression. - Justin A. Reyes; E. Miles Stoudenmire (CoRR, 2020)

The ITensor Software Library for Tensor Network Calculations. - Matthew Fishman; Steven R. White; E. Miles Stoudenmire (CoRR, 2020)

Modeling sequences with quantum states: a look under the hood. - Tai-Danae Bradley; E. Miles Stoudenmire; John Terilla (Mach. Learn. Sci. Technol., 2020)

Multi-scale tensor network architecture for machine learning. - Justin A. Reyes; E. Miles Stoudenmire (Mach. Learn. Sci. Technol., 2021)

Generative modeling via tensor train sketching. - Yoonhaeng Hur; Jeremy G. Hoskins; Michael Lindsey; E. Miles Stoudenmire; Yuehaw Khoo (CoRR, 2022)

Generalization and Overfitting in Matrix Product State Machine Learning Architectures. - Artem Strashko; E. Miles Stoudenmire (CoRR, 2022)

Generative Modeling via Hierarchical Tensor Sketching. - Yifan Peng 005; Yian Chen; E. Miles Stoudenmire; Yuehaw Khoo (CoRR, 2023)

Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm. - Linjian Ma; Matthew Fishman; Edwin Miles Stoudenmire; Edgar Solomonik (Quantum, 2024)