Tung D. Nguyen

According to our database, Tung D. Nguyen authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Rank-Preference Consistency as the Appropriate Metric for Recommender Systems.

Tung D. Nguyen, Jeffrey Uhlmann

CoRR, 2024

2023

Maximizing Metapopulation Growth Rate and Biomass in Stream Networks.

Tung D. Nguyen, Yixiang Wu, Amy Veprauskas, Tingting Tang, Ying Zhou, Charlotte Beckford, Brian Chau, Xiaoyun Chen, Behzad Djafari Rouhani, Yuerong Wu, Yang Yang, Zhisheng Shuai

SIAM J. Appl. Math., December, 2023

Prevalence of Multistationarity and Absolute Concentration Robustness in Reaction Networks.

Badal Joshi, Nidhi Kaihnsa, Tung D. Nguyen, Anne Shiu

SIAM J. Appl. Math., December, 2023

Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems.

Tung D. Nguyen, Jeffrey Uhlmann

Trans. Recomm. Syst., September, 2023

Predicting opioid use disorder before and after the opioid prescribing peak in the United States: A machine learning tool using electronic healthcare records.

Tyler J. Banks, Tung D. Nguyen, Jeffrey K. Uhlmann, Satish S. Nair, Jeffrey F. Scherrer

Health Informatics J., April, 2023

An Admissible Shift-Consistent Method for Recommender Systems.

Tung D. Nguyen, Jeffrey Uhlmann

CoRR, 2023

Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems.

Tung D. Nguyen, Jeffrey Uhlmann

CoRR, 2023

2022

Prevalence of deficiency-zero reaction networks in an Erdös-Rényi framework.

David F. Anderson, Tung D. Nguyen

J. Appl. Probab., 2022

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education.

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson

CoRR, 2022

A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System.

Tung D. Nguyen, Sang T. Truong, Jeffrey Uhlmann

CoRR, 2022

A Unit-Consistent Tensor Completion with Applications in Recommender Systems.

Tung D. Nguyen, Jeffrey Uhlmann

CoRR, 2022

2021

Temporal Predictive Coding For Model-Based Planning In Latent Space.

Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Canonical Tensor Scaling.

Tung D. Nguyen, Jeffrey Uhlmann

CoRR, 2020

Q-Learning with Differential Entropy of Q-Tables.

Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass

CoRR, 2020

Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees.

Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass

CoRR, 2020

2019

A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms.

Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass

Proceedings of the Neural Information Processing - 26th International Conference, 2019