Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. - Sathwik Karnik; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Gustavo Nunes Goretkin (ICRA, 2022)

A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams. - Sarah J. Zhang; Reece Shuttleworth; Derek Austin; Yann Hicke; Leonard Tang; Sathwik Karnik; Darnell Granberry; Iddo Drori (CoRR, 2022)

From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. - Iddo Drori; Sarah J. Zhang; Reece Shuttleworth; Sarah Zhang; Keith Tyser; Zad Chin; Pedro Lantigua; Saisamrit Surbehera; Gregory Hunter; Derek Austin; Leonard Tang; Yann Hicke; et al. (KDD, 2023)

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. - Zhang-Wei Hong; Aviral Kumar; Sathwik Karnik; Abhishek Bhandwaldar; Akash Srivastava; Joni Pajarinen; Romain Laroche; Abhishek Gupta 004; Pulkit Agrawal 001 (NeurIPS, 2023)

Embodied Red Teaming for Auditing Robotic Foundation Models. - Sathwik Karnik; Zhang-Wei Hong; Nishant Abhangi; Yen-Chen Lin; Tsun-Hsuan Wang; Pulkit Agrawal 001 (CoRR, 2024)