Unraveling Network-Induced Memory Contention: Deeper Insights with Machine Learning. - Taylor L. Groves; Ryan E. Grant; Aaron Gonzales; Dorian C. Arnold (IEEE Trans. Parallel Distributed Syst., 2018)

County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. - Luca Belli; Kyra Yee; Uthaipon Tantipongpipat; Aaron Gonzales; Kristian Lum; Moritz Hardt (CoRR, 2022)

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. - Tomo Lazovich; Luca Belli; Aaron Gonzales; Amanda Bower; Uthaipon Tantipongpipat; Kristian Lum; Ferenc Huszár; Rumman Chowdhury (Patterns, 2022)