Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. - Yan Wang 051; Wei-Lun Chao; Divyansh Garg; Bharath Hariharan; Mark E. Campbell; Kilian Q. Weinberger (CVPR, 2019)

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. - Rui Qian; Divyansh Garg; Yan Wang 051; Yurong You; Serge J. Belongie; Bharath Hariharan; Mark E. Campbell; Kilian Q. Weinberger; Wei-Lun Chao (CVPR, 2020)

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. - Yurong You; Yan Wang 051; Wei-Lun Chao; Divyansh Garg; Geoff Pleiss; Bharath Hariharan; Mark E. Campbell; Kilian Q. Weinberger (ICLR, 2020)

Wasserstein Distances for Stereo Disparity Estimation. - Divyansh Garg; Yan Wang 051; Bharath Hariharan; Mark Campbell 001; Kilian Q. Weinberger; Wei-Lun Chao (NeurIPS, 2020)

IQ-Learn: Inverse soft-Q Learning for Imitation. - Divyansh Garg; Shuvam Chakraborty; Chris Cundy; Jiaming Song; Stefano Ermon (NeurIPS, 2021)

Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. - Rohin Shah; Steven H. Wang; Cody Wild; Stephanie Milani; Anssi Kanervisto; Vinicius G. Goecks; Nicholas R. Waytowich; David Watkins-Valls; Bharat Prakash; Edmund Mills; Divyansh Garg; Alexander Fries; et al. (NeurIPS (Competition and Demos), 2021)

LISA: Learning Interpretable Skill Abstractions from Language. - Divyansh Garg; Skanda Vaidyanath; Kuno Kim; Jiaming Song; Stefano Ermon (NeurIPS, 2022)

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. - Rohin Shah; Steven H. Wang; Cody Wild; Stephanie Milani; Anssi Kanervisto; Vinicius G. Goecks; Nicholas R. Waytowich; David Watkins-Valls; Bharat Prakash; Edmund Mills; Divyansh Garg; Alexander Fries; et al. (CoRR, 2022)

Extreme Q-Learning: MaxEnt RL without Entropy. - Divyansh Garg; Joey Hejna; Matthieu Geist; Stefano Ermon (ICLR, 2023)

Learning to Detect Touches on Cluttered Tables. - Norberto Adrián Goussies; Kenji Hata; Shruthi Prabhakara; Abhishek Amit; Tony Aubé; Carl Cepress; Diana Chang; Li-Te Cheng; Horia Stefan Ciurdar; Mike Cleron; Chelsey Fleming; Ashwin Ganti; et al. (CoRR, 2023)

ROER: Regularized Optimal Experience Replay. - Changling Li; Zhang-Wei Hong; Pulkit Agrawal 001; Divyansh Garg; Joni Pajarinen (RLJ, 2024)

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents. - Pranav Putta; Edmund Mills; Naman Garg; Sumeet Motwani; Chelsea Finn; Divyansh Garg; Rafael Rafailov (CoRR, 2024)

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. - Divyansh Garg; Shaun VanWeelden; Diego Caples; Andis Draguns; Nikil Ravi; Pranav Putta; Naman Garg; Tomas Abraham; Michael Lara; Federico Lopez; James Liu; Atharva Gundawar; et al. (CoRR, 2025)