Tensor Networks for Language Modeling. - Jacob Miller 003; Guillaume Rabusseau; John Terilla (CoRR, 2020)

Adaptive Tensor Learning with Tensor Networks. - Meraj Hashemizadeh; Michelle Liu; Jacob Miller 003; Guillaume Rabusseau (CoRR, 2020)

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. - Sandesh Adhikary; Siddarth Srinivasan; Jacob Miller 003; Guillaume Rabusseau; Byron Boots (AISTATS, 2021)

Tensor Networks for Probabilistic Sequence Modeling. - Jacob Miller 003; Guillaume Rabusseau; John Terilla (AISTATS, 2021)

Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework. - Jacob Miller 003; Geoffrey Roeder; Tai-Danae Bradley (CoRR, 2021)

Generative Learning of Continuous Data by Tensor Networks. - Alex Meiburg; Jing Chen; Jacob Miller 003; Raphaëlle Tihon; Guillaume Rabusseau; Alejandro Perdomo-Ortiz (CoRR, 2023)