Luke Rowe

15 papers A* 3B 1Misc 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constrained Group Relative Policy Optimization.
CoRR
Roger Girgis, Rodrigue de Schaetzen, Luke Rowe, Azalée Robitaille, Christopher Pal, Liam Paull
2025 J jnl
Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving.
CoRR
Luke Rowe, Rodrigue de Schaetzen, Roger Girgis, Christopher Pal, Liam Paull
2025 A* conf
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments.
CVPR
Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide
2025 J jnl
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments.
CoRR
Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide
2025 J jnl
Solving Bayesian inverse problems with diffusion priors and off-policy RL.
CoRR
Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024 A* conf
Amortizing intractable inference in diffusion models for vision, language, and control.
NeurIPS
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
2024 J jnl
Amortizing intractable inference in diffusion models for vision, language, and control.
CoRR
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
2024 Misc conf
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning.
CoRL
Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal
2024 J jnl
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning.
CoRR
Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal
2023 A* conf
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs.
CVPR
Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki
2022 J jnl
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition.
CoRR
Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang
2022 J jnl
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs.
CoRR
Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki
2022 B conf
Measuring Quality of General Reasoning.
CogSci
Alexandru Marcoci, Tim van Gelder, Simon Dennis, Margaret Webb, Luke Rowe, Ashley Barnett, Tamar Primoratz, Ariel Kruger, Benjamin Stone, Michael Diamond, Morgan Saletta
2022 — conf
Out-of-Distribution Detection for LiDAR-based 3D Object Detection.
ITSC
Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki
2022 J jnl
Out-of-Distribution Detection for LiDAR-based 3D Object Detection.
CoRR
Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki