Jacob Miller

According to our database, Jacob Miller authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

Generative Learning of Continuous Data by Tensor Networks.

Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Guillaume Rabusseau, Alejandro Perdomo-Ortiz

CoRR, 2023

2021

Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework.

Jacob Miller, Geoffrey Roeder, Tai-Danae Bradley

CoRR, 2021

Tensor Networks for Probabilistic Sequence Modeling.

Jacob Miller, Guillaume Rabusseau, John Terilla

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.

Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau, Byron Boots

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Adaptive Tensor Learning with Tensor Networks.

Meraj Hashemizadeh, Michelle Liu, Jacob Miller, Guillaume Rabusseau

CoRR, 2020

Tensor Networks for Language Modeling.

Jacob Miller, Guillaume Rabusseau, John Terilla

CoRR, 2020