Cell list algorithms for nonequilibrium molecular dynamics. - Matthew Dobson; Ian Fox; Alexandra Saracino (J. Comput. Phys., 2016)

Contextual Motifs: Increasing the Utility of Motifs using Contextual Data. - Ian Fox; Lynn Ang; Mamta Jaiswal; Rodica Pop-Busui; Jenna Wiens (KDD, 2017)

Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories. - Ian Fox; Lynn Ang; Mamta Jaiswal; Rodica Pop-Busui; Jenna Wiens (KDD, 2018)

The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA. - Jiaxuan Wang; Ian Fox; Jonathan Skaza; Nick Linck; Satinder Singh 001; Jenna Wiens (CoRR, 2018)

Advocacy Learning: Learning through Competition and Class-Conditional Representations. - Ian Fox; Jenna Wiens (IJCAI, 2019)

Deep Residual Time-Series Forecasting: Application to Blood Glucose Prediction. - Harry Rubin-Falcone; Ian Fox; Jenna Wiens (KDH@ECAI, 2020)

Deep Reinforcement Learning for Closed-Loop Blood Glucose Control. - Ian Fox; Joyce M. Lee; Rodica Pop-Busui; Jenna Wiens (MLHC, 2020)

Machine Learning for Physiological Time Series: Representing and Controlling Blood Glucose for Diabetes Management. - Ian Fox (2020)

Personalized Execution Time Optimization for the Scheduled Jobs. - Yang Liu; Juan Wang; Zhengxing Chen; Ian Fox; Imani Mufti; Jason Sukumaran; Baokun He; Xiling Sun; Feng Liang (CoRR, 2022)