To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk. - Manfred Diaz; Roger Girgis; Thomas Fevens; Jeremy R. Cooperstock (ICCV Workshops, 2017)

A Survey of Mobile Computing for the Visually Impaired. - Martin Weiss; Margaux Luck; Roger Girgis; Chris Pal; Joseph Paul Cohen (CoRR, 2018)

Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. - Martin Weiss; Simon Chamorro; Roger Girgis; Margaux Luck; Samira Ebrahimi Kahou; Joseph Paul Cohen; Derek Nowrouzezahrai; Doina Precup; Florian Golemo; Chris Pal (CoRL, 2019)

Latent Variable Nested Set Transformers & AutoBots. - Roger Girgis; Florian Golemo; Felipe Codevilla; Jim Aldon D'Souza; Samira Ebrahimi Kahou; Felix Heide; Christopher J. Pal (CoRR, 2021)

Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. - Roger Girgis; Florian Golemo; Felipe Codevilla; Martin Weiss; Jim Aldon D'Souza; Samira Ebrahimi Kahou; Felix Heide; Christopher Pal (ICLR, 2022)

Direct Behavior Specification via Constrained Reinforcement Learning. - Julien Roy; Roger Girgis; Joshua Romoff; Pierre-Luc Bacon; Christopher J. Pal (ICML, 2022)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. - Luke Rowe; Roger Girgis; Anthony Gosselin; Bruno Carrez; Florian Golemo; Felix Heide; Liam Paull; Christopher Pal (CoRL, 2024)

Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments. - Luke Rowe; Roger Girgis; Anthony Gosselin; Liam Paull; Christopher Pal; Felix Heide (CVPR, 2025)

VERDI: VLM-Embedded Reasoning for Autonomous Driving. - Bowen Feng; Zhiting Mei; Baiang Li; Julian Ost; Roger Girgis; Anirudha Majumdar; Felix Heide (CoRR, 2025)

Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving. - Luke Rowe; Rodrigue de Schaetzen; Roger Girgis; Christopher Pal; Liam Paull (CoRR, 2025)