| World model as a graph: Learning latent landmarks for planning L Zhang, G Yang, BC Stadie International conference on machine learning, 12611-12620, 2021 | 69 | 2021 |
| Towards unsupervised object detection from lidar point clouds L Zhang, AJ Yang, Y Xiong, S Casas, B Yang, M Ren, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Learning Intrinsic Rewards as a Bi-Level Optimization Problem B Stadie, L Zhang, J Ba Conference on Uncertainty in Artificial Intelligence, 111-120, 2020 | 14 | 2020 |
| Learning unsupervised world models for autonomous driving via discrete diffusion L Zhang, Y Xiong, Z Yang, S Casas, R Hu, R Urtasun arXiv preprint arXiv:2311.01017, 2023 | 8 | 2023 |
| Learning Realistic Traffic Agents in Closed-loop C Zhang, J Tu, L Zhang, K Wong, S Suo, R Urtasun arXiv preprint arXiv:2311.01394, 2023 | 4 | 2023 |
| Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective L Zhang, BC Stadie arXiv preprint arXiv:2209.13046, 2022 | | 2022 |
| World Model as a Graph: Learning Latent Landmarks for Planning Supplementary Materials L Zhang, G Yang, B Stadie | | |
Bradly StadieAssistant Professor, NorthwesternVerified email at northwestern.edu
