2 citations · 2 across the 4 of their papers we have counts for
5 papers
Improving 3D Labeling in Self-Driving by Inferring Vehicle Information using Vision Language Models
Steven Chen, Shivesh Khaitan, Nemanja Djuric
We present an approach to improve 3D vehicle labeling in self-driving applications through zero-shot inference of vehicle information, leveraging Vehicle Make and Model Recognition…
Leveraging State Space Models in Long Range Genomics
Matvei Popov, Aymen Kallala, Anirudha Ramesh +4
Long-range dependencies are critical for understanding genomic structure and function, yet most conventional methods struggle with them. Widely adopted transformer-based models, wh…
Reasoning with Latent Diffusion in Offline Reinforcement Learning
Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella +3
Offline reinforcement learning (RL) holds promise as a means to learn high-reward policies from a static dataset, without the need for further environment interactions. However, a…
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
Shivesh Khaitan, John M. Dolan
Traversing intersections is a challenging problem for autonomous vehicles, especially when the intersections do not have traffic control. Recently deep reinforcement learning has r…
Safe planning and control under uncertainty for self-driving
Shivesh Khaitan, Qin Lin, John M. Dolan
Motion Planning under uncertainty is critical for safe self-driving. In this paper, we propose a unified obstacle avoidance framework that deals with 1) uncertainty in ego-vehicle…