AGAMOTTO: How Persistent is your Persistent Memory Application? - Ian Neal; Ben Reeves; Ben Stoler; Andrew Quinn 001; Youngjin Kwon; Simon Peter 001; Baris Kasikci (OSDI, 2020)

Meta Arcade: A Configurable Environment Suite for Meta-Learning. - Edward W. Staley; Chace Ashcraft; Benjamin Stoler; Jared Markowitz; Gautam K. Vallabha; Christopher Ratto; Kapil D. Katyal (CoRR, 2021)

Structural Similarity for Improved Transfer in Reinforcement Learning. - Chace Ashcraft; Benjamin Stoler; Chigozie S. Ewulum; Susama Agarwala (CoRR, 2022)

T2FPV: Constructing High-Fidelity First-Person View Datasets From Real-World Pedestrian Trajectories. - Benjamin Stoler; Meghdeep Jana; Soonmin Hwang; Jean Oh (CoRR, 2022)

Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace. - Jay Patrikar; Joao P. A. Dantas; Sourish Ghosh; Parv Kapoor; Ian Higgins; Jasmine Jerry Aloor; Ingrid Navarro; Jimin Sun; Ben Stoler; Milad Moghassem Hamidi; Rohan Baijal; Brady G. Moon; et al. (CoRR, 2022)

T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction. - Benjamin Stoler; Meghdeep Jana; Soonmin Hwang; Jean Oh (IROS, 2023)

SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving. - Benjamin Stoler; Ingrid Navarro; Meghdeep Jana; Soonmin Hwang; Jonathan Francis; Jean Oh (IV, 2024)

RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding. - Benjamin Stoler; Juliet Yang; Jonathan Francis; Jean Oh (CoRR, 2025)

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation. - Benjamin Stoler; Ingrid Navarro; Jonathan Francis; Jean Oh (IEEE Robotics Autom. Lett., 2025)