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ORCIDTung D. Nguyen
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2020 – today
- 2024
[i10]Tung D. Nguyen, Jeffrey Uhlmann:
Rank-Preference Consistency as the Appropriate Metric for Recommender Systems. CoRR abs/2404.17097 (2024)- 2023
- [j5]Tyler J. Banks
, Tung D. Nguyen, Jeffrey K. Uhlmann, Satish S. Nair, Jeffrey F. Scherrer:
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. 29(2): 146045822311688 (2023) - [j4]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:
Maximizing Metapopulation Growth Rate and Biomass in Stream Networks. SIAM J. Appl. Math. 83(6): 2145-2168 (2023) - [j3]Badal Joshi, Nidhi Kaihnsa, Tung D. Nguyen, Anne Shiu:
Prevalence of Multistationarity and Absolute Concentration Robustness in Reaction Networks. SIAM J. Appl. Math. 83(6): 2260-2283 (2023) - [j2]Tung D. Nguyen, Jeffrey Uhlmann:
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems. Trans. Recomm. Syst. 1(3): 1-26 (2023) - [i9]Tung D. Nguyen, Jeffrey Uhlmann:
Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems. CoRR abs/2307.08760 (2023) - [i8]Tung D. Nguyen, Jeffrey Uhlmann:
An Admissible Shift-Consistent Method for Recommender Systems. CoRR abs/2307.08857 (2023) - 2022
- [j1]David F. Anderson, Tung D. Nguyen:
Prevalence of deficiency-zero reaction networks in an Erdös-Rényi framework. J. Appl. Probab. 59(2): 384-398 (2022) - [i7]Tung D. Nguyen, Jeffrey Uhlmann:
A Unit-Consistent Tensor Completion with Applications in Recommender Systems. CoRR abs/2204.01815 (2022) - [i6]Tung D. Nguyen, Sang T. Truong, Jeffrey Uhlmann:
A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System. CoRR abs/2206.13355 (2022) - [i5]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:
Deep Learning Generates Synthetic Cancer Histology for Explainability and Education. CoRR abs/2211.06522 (2022) - 2021
- [c2]Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon:
Temporal Predictive Coding For Model-Based Planning In Latent Space. ICML 2021: 8130-8139 - [i4]Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon:
Temporal Predictive Coding For Model-Based Planning In Latent Space. CoRR abs/2106.07156 (2021) - 2020
- [i3]Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass:
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. CoRR abs/2003.04675 (2020) - [i2]Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass:
Q-Learning with Differential Entropy of Q-Tables. CoRR abs/2006.14795 (2020) - [i1]Tung D. Nguyen, Jeffrey Uhlmann:
Canonical Tensor Scaling. CoRR abs/2009.01175 (2020)
2010 – 2019
- 2019
- [c1]Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass:
A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. ICONIP (1) 2019: 658-669
Coauthor Index
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