Tung D. Nguyen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Multivariate Decision Trees

Top Venues

SIAM J. Appl. Math.

J. Appl. Probab.

Publications

Tung D. Nguyen, Jeffrey Uhlmann
Rank-Preference Consistency as the Appropriate Metric for Recommender Systems. CoRR (2024)
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) (2023)
Tyler J. Banks, Tung D. Nguyen, Jeffery 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) (2023)
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) (2023)
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 (2022)
David F. Anderson, Tung D. Nguyen
Prevalence of deficiency-zero reaction networks in an Erdös-Rényi framework. J. Appl. Probab. 59 (2) (2022)
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
Temporal Predictive Coding For Model-Based Planning In Latent Space. CoRR (2021)
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
Temporal Predictive Coding For Model-Based Planning In Latent Space. ICML (2021)
Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. CoRR (2020)
Tung D. Nguyen, Jeffrey Uhlmann
Canonical Tensor Scaling. CoRR (2020)
Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass
Q-Learning with Differential Entropy of Q-Tables. CoRR (2020)
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)