Not all overlaps are equal: Social affiliation and rare overlaps of preferences. - Natalia Vélez; Sophie Bridgers; Hyowon Gweon (CogSci, 2016)

Learning and making novel predictions about others' preferences. - Natalia Vélez; Yuan Chang Leong; Chelsey Pan; Jamil Zaki; Hyowon Gweon (CogSci, 2016)

Mentalizing regions represent distributed, continuous, and abstract dimensions of others' beliefs. - Jorie Koster-Hale; Hilary Richardson; Natalia Vélez; Mika Asaba; Liane Young; Rebecca Saxe (NeuroImage, 2017)

Consistent but not diagnostic: Preschoolers' intuitions about shared preferences within social groups. - Natalia Vélez; Yuerui Wu; Hyowon Gweon (CogSci, 2018)

Integrating Incomplete Information With Imperfect Advice. - Natalia Vélez; Hyowon Gweon (Top. Cogn. Sci., 2019)

Preschoolers use minimal statistical information about social groups to infer the preferences and group membership of individuals. - Natalia Vélez; Hyowon Gweon (CogSci, 2020)

Cognition, Collectives, and Human Culture. - Charley M. Wu; Natalia Vélez; Mark K. Ho; Robert L. Goldstone (CogSci, 2020)

How do Humans Overcome Individual Computational Limitations by Working Together? - Natalia Vélez; Brian R. Christian; Mathew D. Hardy; Bill D. Thompson; Thomas L. Griffiths 001 (Cogn. Sci., 2023)

Comparing Human Behavior to an Optimal Policy for Innovation. - Bonan Zhao 001; Natalia Vélez; Thomas L. Griffiths 001 (AAAI Spring Symposia, 2024)

Embodied LLM Agents Learn to Cooperate in Organized Teams. - Xudong Guo; Kaixuan Huang; Jiale Liu; Wenhui Fan; Natalia Vélez; Qingyun Wu; Huazheng Wang; Thomas L. Griffiths 001; Mengdi Wang (CoRR, 2024)

A Hierarchical Bayesian Model of Adaptive Teaching. - Alicia M. Chen; Andrew Palacci; Natalia Vélez; Robert D. Hawkins; Samuel J. Gershman (Cogn. Sci., 2024)

Predicting Multi-Agent Specialization via Task Parallelizability. - Elizabeth Mieczkowski; Ruaridh Mon-Williams; Neil Bramley; Christopher G. Lucas; Natalia Vélez; Thomas L. Griffiths 001 (CoRR, 2025)

Partner Modelling Emerges in Recurrent Agents (But Only When It Matters). - Ruaridh Mon-Williams; Max Taylor-Davies; Elizabeth Mieczkowski; Natalia Vélez; Neil R. Bramley; Yanwei Wang; Thomas L. Griffiths 001; Christopher G. Lucas (CoRR, 2025)