Adaptive Coordination Offsets for Signalized Arterial Intersections using Deep Reinforcement Learning. - Keith Anshilo Diaz; Damian Dailisan; Umang Sharaf; Carissa Santos; Qijian Gan; Francis Aldrine Uy; May T. Lim; Alexandre M. Bayen (CoRR, 2020)

Deep-learned orthogonal basis patterns for fast, noise-robust single-pixel imaging. - Ritz Ann Aguilar; Damian Dailisan (CoRR, 2022)

How Well Do Reinforcement Learning Approaches Cope With Disruptions? The Case of Traffic Signal Control. - Marcin Korecki; Damian Dailisan; Dirk Helbing (IEEE Access, 2023)

Dynamic value alignment through preference aggregation of multiple objectives. - Marcin Korecki; Damian Dailisan; Cesare Carissimo (CoRR, 2023)

LLM Voting: Human Choices and AI Collective Decision-Making. - Joshua C. Yang; Damian Dailisan; Marcin Korecki; Carina I. Hausladen; Dirk Helbing (AIES (1), 2024)

LLM Voting: Human Choices and AI Collective Decision Making. - Joshua Chu-Yue Yang; Marcin Korecki; Damian Dailisan; Carina I. Hausladen; Dirk Helbing (CoRR, 2024)

Overcoming the Price of Anarchy by Steering with Recommendations. - Cesare Carissimo; Marcin Korecki; Damian Dailisan (Neurocomputing, 2025)

Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making. - Rohit Kumar Dubey; Damian Dailisan; Sachit Mahajan (CoRR, 2025)