Measuring Quality of General Reasoning. - Alexandru Marcoci; Tim van Gelder; Simon Dennis; Margaret Webb; Luke Rowe; Ashley Barnett; Tamar Primoratz; Ariel Kruger; Benjamin Stone; Michael Diamond; Morgan Saletta (CogSci, 2022)

Out-of-Distribution Detection for LiDAR-based 3D Object Detection. - Chengjie Huang; Van Duong Nguyen; Vahdat Abdelzad; Christopher Gus Mannes; Luke Rowe; Benjamin Thérien; Rick Salay; Krzysztof Czarnecki 001 (ITSC, 2022)

A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition. - Luke Rowe; Benjamin Thérien; Krzysztof Czarnecki 001; Hongyang Zhang 001 (CoRR, 2022)

FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. - Luke Rowe; Martin Ethier; Eli-Henry Dykhne; Krzysztof Czarnecki 001 (CVPR, 2023)

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)

Amortizing intractable inference in diffusion models for vision, language, and control. - Siddarth Venkatraman; Moksh Jain; Luca Scimeca; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (NeurIPS, 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)

Solving Bayesian inverse problems with diffusion priors and off-policy RL. - Luca Scimeca; Siddarth Venkatraman; Moksh Jain; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (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)