E. Miles Stoudenmire

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recursive Sketched Interpolation: Efficient Hadamard Products of Tensor Trains. CoRR Zhaonan Meng, Yuehaw Khoo, Jiajia Li, E. Miles Stoudenmire
2023	J	`jnl`	Generative Modeling via Hierarchical Tensor Sketching. CoRR Yifan Peng, Yian Chen, E. Miles Stoudenmire, Yuehaw Khoo
2022	J	`jnl`	Generalization and Overfitting in Matrix Product State Machine Learning Architectures. CoRR Artem Strashko, E. Miles Stoudenmire
2022	J	`jnl`	Generative modeling via tensor train sketching. CoRR Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo
2021	J	`jnl`	Multi-scale tensor network architecture for machine learning. Mach. Learn. Sci. Technol. Justin A. Reyes, E. Miles Stoudenmire
2020	J	`jnl`	A Multi-Scale Tensor Network Architecture for Classification and Regression. CoRR Justin A. Reyes, E. Miles Stoudenmire
2020	J	`jnl`	Modeling sequences with quantum states: a look under the hood. Mach. Learn. Sci. Technol. Tai-Danae Bradley, E. Miles Stoudenmire, John Terilla
2020	J	`jnl`	The ITensor Software Library for Tensor Network Calculations. CoRR Matthew Fishman, Steven R. White, E. Miles Stoudenmire
2019	J	`jnl`	Modeling Sequences with Quantum States: A Look Under the Hood. CoRR Tai-Danae Bradley, E. Miles Stoudenmire, John Terilla
2018	J	`jnl`	Learning Relevant Features of Data with Multi-scale Tensor Networks. CoRR E. Miles Stoudenmire
2018	J	`jnl`	Towards Quantum Machine Learning with Tensor Networks. CoRR William J. Huggins, Piyush Patel, K. Birgitta Whaley, E. Miles Stoudenmire
2016	J	`jnl`	Supervised Learning with Quantum-Inspired Tensor Networks. CoRR E. Miles Stoudenmire, David J. Schwab