Publications

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, Chris Pal, Liam Paull,
WAD @ CVPR 2025. Winner of the 2025 Waymo Vision-based End-to-End Driving Challenge
[paper] Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Chris Pal, Felix Heide,
Computer Vision and Pattern Recognition (CVPR), 2025
[paper] [project page] [code] 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, Chris Pal,
Conference on Robot Learning (CoRL), 2024
[paper] [video] [project page] [code] Amortizing intractable inference in diffusion models for vision, language, and control
Siddarth Venkatraman*, Moksh Jain*, Luca Scimeca*, Minsu Kim*, Marcin Sendera*, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin,
Neural Information Processing Systems (NeurIPS), 2024
[paper] [code] FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs
Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki,
Computer Vision and Pattern Recognition (CVPR), 2023
[paper] [video] [project page] [code] 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,
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022
[paper]