Veer, Sushant

10 publications

CoRL 2025 Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone

TMLR 2025 Wolf: Dense Video Captioning with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

CVPR 2024 Driving Everywhere with Large Language Model Policy Adaptation Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone

NeurIPSW 2024 Wolf: Captioning Everything with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

CoRL 2023 Multi-Predictor Fusion: Combining Learning-Based and Rule-Based Trajectory Predictors Sushant Veer, Apoorva Sharma, Marco Pavone

NeurIPS 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar

CoRL 2022 Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone

CoRL 2021 Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning Alec Farid, Sushant Veer, Anirudha Majumdar

CoRL 2020 Generalization Guarantees for Imitation Learning Allen Ren, Sushant Veer, Anirudha Majumdar

CoRL 2020 Probably Approximately Correct Vision-Based Planning Using Motion Primitives Sushant Veer, Anirudha Majumdar