Publications

• Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño, Ananya Joshi, Ruiqi Lyu, Jingjing Tang, Alistair Turcan, Khurram Yamin, Steven Wu, Bryan Wilder.
  Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction.
  EMNLP Findings-25. Conference on Empirical Methods in Natural Language Processing. 2025. [Link].

• Rishi Veerapaneni, Arthur Jakobsson, Kevin Ren, Samuel Kim, Jiaoyang Li, Maxim Likhachev.
  Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF.
  ICRA-25. International Conference on Robotics and Automation. 2025. [Link].

• Kevin Ren, Yewon Byun, Bryan Wilder.
  Decision-Focused Evaluation of Worst-Case Distribution Shift.
  UAI-24. Conference on Uncertainty in Artificial Intelligence. 2024. [Link]

• Rishi Veerapaneni, Qian Wang, Kevin Ren, Arthur Jakobsson, Jiaoyang Li, Maxim Likhachev.
  Improving Learnt Local MAPF Policies with Heuristic Search.
  ICAPS-24. Thirty-Fourth International Conference on Automated Planning and Scheduling. 2024. [Link]