PathPass: Opening doors for people with disabilities. - Panagiotis Lymperopoulos; Kevin Meade (MobiHealth, 2014)

Concept Wikification for COVID-19. - Panagiotis Lymperopoulos; Haoling Qiu; Bonan Min (NLP4COVID@EMNLP, 2020)

Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach. - Alexandra Hope Lee; Panagiotis Lymperopoulos; Joshua T. Cohen; John B. Wong; Michael C. Hughes (CoRR, 2021)

Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver. - Sriram Gopalakrishnan; Utkarsh Soni; Tung Thai; Panagiotis Lymperopoulos; Matthias Scheutz; Subbarao Kambhampati (CoRR, 2021)

NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds. - Patrick Feeney; Sarah Schneider; Panagiotis Lymperopoulos; Liping Liu 001; Matthias Scheutz; Michael C. Hughes (Trans. Mach. Learn. Res., 2023)

Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets. - Panagiotis Lymperopoulos; Liping Liu 001 (AISTATS, 2024)

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. - Shivam Goel; Yichen Wei; Panagiotis Lymperopoulos; Klára Churá; Matthias Scheutz; Jivko Sinapov (AAMAS, 2024)

Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations. - Panagiotis Lymperopoulos; Matthias Scheutz (AAMAS, 2024)

A neurosymbolic cognitive architecture framework for handling novelties in open worlds. - Shivam Goel; Panagiotis Lymperopoulos; Ravenna Thielstrom; Evan A. Krause; Patrick Feeney; Pierrick Lorang; Sarah Schneider; Yichen Wei; Eric J. Kildebeck; Stephen A. Goss; Michael C. Hughes; Li-Ping Liu 001; et al. (Artif. Intell., 2024)

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. - Shivam Goel; Yichen Wei; Panagiotis Lymperopoulos; Matthias Scheutz; Jivko Sinapov (CoRR, 2024)

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools. - Panagiotis Lymperopoulos; Vasanth Sarathy (AAMAS, 2025)