VAST challenge 2015: Grand challenge - team VADER/VIS Award for Outstanding Comprehensive Submission. - Michael Steptoe; Robert Krüger; Yifan Zhang 007; Xing Liang; Rolando Garcia; Sagarika Kadambi; Wei Luo; Thomas Ertl; Ross Maciejewski (VAST, 2015)

The State-of-the-Art in Predictive Visual Analytics. - Yafeng Lu; Rolando Garcia; Brett Hansen; Michael Gleicher; Ross Maciejewski (Comput. Graph. Forum, 2017)

A Visual Analytics Framework for Exploring Theme Park Dynamics. - Michael Steptoe; Robert Krüger; Rolando Garcia; Xing Liang; Ross Maciejewski (ACM Trans. Interact. Intell. Syst., 2018)

Hindsight Logging for Model Training. - Rolando Garcia; Eric Liu; Vikram Sreekanti; Bobby Yan; Anusha Dandamudi; Joseph Gonzalez 001; Joseph M. Hellerstein; Koushik Sen (Proc. VLDB Endow., 2020)

BuDDI: A Declarative Bloom Language for CALM Programming. - Rolando Garcia; Giulia Guidi (CoRR, 2021)

Operationalizing Machine Learning: An Interview Study. - Shreya Shankar; Rolando Garcia; Joseph M. Hellerstein; Aditya G. Parameswaran (CoRR, 2022)

Multiversion Hindsight Logging for Continuous Training. - Rolando Garcia; Anusha Dandamudi; Gabriel Matute; Lehan Wan; Joseph Gonzalez 001; Joseph M. Hellerstein; Koushik Sen (CoRR, 2023)

Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets. - Pragya Kallanagoudar; Chithra Anand; Rolando Garcia; Rebecca M. M. Hicke; Aditya G. Parameswaran; Eunice Jun; Sarah E. Chasins (UIST (Adjunct Volume), 2024)

Interactive Lab Notebooks for Robotics Researchers. - Rolando Garcia (CoRR, 2024)

Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle. - Rolando Garcia; Pragya Kallanagoudar; Chithra Anand; Sarah E. Chasins; Joseph M. Hellerstein; Aditya G. Parameswaran (CoRR, 2024)

"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. - Shreya Shankar; Rolando Garcia; Joseph M. Hellerstein; Aditya G. Parameswaran (Proc. ACM Hum. Comput. Interact., 2024)