Justin Lidard

15 papers A* 1C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.
ACM Comput. Surv.
Ola Shorinwa, Zhiting Mei, Justin Lidard, Allen Z. Ren, Anirudha Majumdar
2026 — conf
Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?
EACL (Findings)
Zhiting Mei, Christina Zhang, Tenny Yin, Justin Lidard, Ola Shorinwa, Anirudha Majumdar
2025 A* conf
Diffusion Policy Policy Optimization.
ICLR
Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
2025 J jnl
Guiding Data Collection via Factored Scaling Curves.
CoRR
Lihan Zha, Apurva Badithela, Michael Zhang, Justin Lidard, Jeremy Bao, Emily Zhou, David Snyder, Allen Z. Ren, Dhruv Shah, Anirudha Majumdar
2025 J jnl
Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?
CoRR
Zhiting Mei, Christina Zhang, Tenny Yin, Justin Lidard, Ola Shorinwa, Anirudha Majumdar
2025 J jnl
Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports.
CoRR
Donggeon David Oh, Justin Lidard, Haimin Hu, Himani Sinhmar, Elle Lazarski, Deepak Edakkattil Gopinath, Emily S. Sumner, Jonathan A. DeCastro, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac
2024 J jnl
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.
CoRR
Ola Shorinwa, Zhiting Mei, Justin Lidard, Allen Z. Ren, Anirudha Majumdar
2024 — conf
Blending Data-Driven Priors in Dynamic Games.
Robotics: Science and Systems
Justin Lidard, Haimin Hu, Asher J. Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak Edakkattil Gopinath, Guy Rosman, Naomi Ehrich Leonard, Maria Santos, Jaime Fernández Fisac
2024 J jnl
Blending Data-Driven Priors in Dynamic Games.
CoRR
Justin Lidard, Haimin Hu, Asher J. Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, María Santos, Jaime Fernández Fisac
2024 J jnl
Diffusion Policy Policy Optimization.
CoRR
Allen Z. Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
2024 — conf
Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction.
Robotics: Science and Systems
Justin Lidard, Hang Pham, Ariel Bachman, Bryan Boateng, Anirudha Majumdar
2024 J jnl
Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction.
CoRR
Justin Lidard, Hang Pham, Ariel Bachman, Bryan Boateng, Anirudha Majumdar
2023 J jnl
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.
CoRR
Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman
2022 C conf
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication.
ACC
Justin Lidard, Udari Madhushani, Naomi Ehrich Leonard
2021 J jnl
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication.
CoRR
Justin Lidard, Udari Madhushani, Naomi Ehrich Leonard