| 2025 | CogSci | Building computational models of social cognition in memo. | Kartik Chandra, Sean Dae Houlihan, Max Kleiman-Weiner |
| 2025 | CogSci | Cross-Cultural Emotion Concept Representation: A Comparison of English, Korean, and Large Language Model Representations. | Mijin Kwon, Sean Dae Houlihan, Jonathan Phillips |
| 2025 | CogSci | Solving strategic social coordination via Bayesian learning. | Amrita Lamba, Sean Dae Houlihan, Rebecca Saxe |
| 2025 | CogSci | Collective Emotions: Appraisal-based similarity in emotion attributions to individuals and groups. | Songzhi Wu, Sean Dae Houlihan, Meghan Meyer, Jonathan Phillips |
| 2025 | ICML | Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. | Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo |
| 2024 | CogSci | Intervening on Emotions by Planning Over a Theory of Mind. | Tony Chen, Sean Dae Houlihan, Kartik Chandra, Josh Tenenbaum, Rebecca Saxe |
| 2022 | CogSci | Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. | Sean Dae Houlihan, Desmond C. Ong, Maddie Cusimano, Rebecca Saxe |
| 2019 | CogSci | Emotion attributions echo the structure of people's intuitive theory of psychology. | Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe |
| 2018 | CogSci | A generative model of people's intuitive theory of emotions: inverse planning in rich social games. | Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe |