Tung D. Nguyen

17 papers A* 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Rank-Preference Consistency as the Appropriate Metric for Recommender Systems. CoRR Tung D. Nguyen, Jeffrey Uhlmann
2023	J	`jnl`	An Admissible Shift-Consistent Method for Recommender Systems. CoRR Tung D. Nguyen, Jeffrey Uhlmann
2023	J	`jnl`	Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems. CoRR Tung D. Nguyen, Jeffrey Uhlmann
2023	J	`jnl`	Maximizing Metapopulation Growth Rate and Biomass in Stream Networks. SIAM J. Appl. Math. 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
2023	J	`jnl`	Predicting opioid use disorder before and after the opioid prescribing peak in the United States: A machine learning tool using electronic healthcare records. Health Informatics J. Tyler J. Banks, Tung D. Nguyen, Jeffrey K. Uhlmann, Satish S. Nair, Jeffrey F. Scherrer
2023	J	`jnl`	Prevalence of Multistationarity and Absolute Concentration Robustness in Reaction Networks. SIAM J. Appl. Math. Badal Joshi, Nidhi Kaihnsa, Tung D. Nguyen, Anne Shiu
2023	J	`jnl`	Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems. Trans. Recomm. Syst. Tung D. Nguyen, Jeffrey Uhlmann
2022	J	`jnl`	A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System. CoRR Tung D. Nguyen, Sang T. Truong, Jeffrey Uhlmann
2022	J	`jnl`	A Unit-Consistent Tensor Completion with Applications in Recommender Systems. CoRR Tung D. Nguyen, Jeffrey Uhlmann
2022	J	`jnl`	Deep Learning Generates Synthetic Cancer Histology for Explainability and Education. CoRR 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
2022	J	`jnl`	Prevalence of deficiency-zero reaction networks in an Erdös-Rényi framework. J. Appl. Probab. David F. Anderson, Tung D. Nguyen
2021	A*	`conf`	Temporal Predictive Coding For Model-Based Planning In Latent Space. ICML Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
2021	J	`jnl`	Temporal Predictive Coding For Model-Based Planning In Latent Space. CoRR Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
2020	J	`jnl`	Canonical Tensor Scaling. CoRR Tung D. Nguyen, Jeffrey Uhlmann
2020	J	`jnl`	Q-Learning with Differential Entropy of Q-Tables. CoRR Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass
2020	J	`jnl`	Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. CoRR Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass
2019	—	`conf`	A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. ICONIP (1) Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass