E. Miles Stoudenmire

According to our database, E. Miles Stoudenmire authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm.

Linjian Ma, Matthew Fishman, Edwin Miles Stoudenmire, Edgar Solomonik

CoRR, 2024

2023

Generative Modeling via Hierarchical Tensor Sketching.

Yifan Peng, Yian Chen, E. Miles Stoudenmire, Yuehaw Khoo

CoRR, 2023

2022

Generalization and Overfitting in Matrix Product State Machine Learning Architectures.

Artem Strashko, E. Miles Stoudenmire

CoRR, 2022

Generative modeling via tensor train sketching.

Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo

CoRR, 2022

2021

Multi-scale tensor network architecture for machine learning.

Justin A. Reyes, E. Miles Stoudenmire

Mach. Learn. Sci. Technol., 2021

2020

Modeling sequences with quantum states: a look under the hood.

Tai-Danae Bradley, E. Miles Stoudenmire, John Terilla

Mach. Learn. Sci. Technol., 2020

The ITensor Software Library for Tensor Network Calculations.

Matthew Fishman, Steven R. White, E. Miles Stoudenmire

CoRR, 2020

A Multi-Scale Tensor Network Architecture for Classification and Regression.

Justin A. Reyes, E. Miles Stoudenmire

CoRR, 2020

2018

Towards Quantum Machine Learning with Tensor Networks.

William J. Huggins, Piyush Patel, K. Birgitta Whaley, E. Miles Stoudenmire

CoRR, 2018

Learning Relevant Features of Data with Multi-scale Tensor Networks.

E. Miles Stoudenmire

CoRR, 2018

2016

Supervised Learning with Quantum-Inspired Tensor Networks.

E. Miles Stoudenmire, David J. Schwab

CoRR, 2016

Supervised Learning with Tensor Networks.

Edwin Miles Stoudenmire, David J. Schwab

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016