Learning to communicate about shared procedural abstractions WP McCarthy, RD Hawkins, H Wang, C Holdaway, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 26 | 2021 |
Measuring and Modeling Physical Intrinsic Motivation J Martinez, F Binder, H Wang, N Haber, J Fan, DLK Yamins arXiv preprint arXiv:2305.13452, 2023 | 3 | 2023 |
How do people incorporate advice from artificial agents when making physical judgments? E Brockbank, H Wang, J Yang, S Mirchandani, E Bıyık, D Sadigh, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 2 | 2022 |
Learning part-based abstractions for visual object concepts H Wang, N Polikarpova, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 2 | 2021 |
Generalizing physical prediction by composing forces and objects H Wang, KR Allen, E Vul, JE Fan Proceedings of the annual meeting of the cognitive science society 44 (44), 2022 | 1 | 2022 |
Learning Structured Representations for Generalization in the Physical World H Wang University of California, San Diego, 2024 | | 2024 |
Probabilistic simulation supports generalizable intuitive physics H Wang, K Jedoui, R Venkatesh, FJ Binder, J Tenenbaum, JE Fan, ... Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
Communicating understanding of physical dynamics in natural language H Wang, J Yang, R Tamari, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | | 2022 |
Theory Acquisition as Constraint-Based Program Synthesis H Wang, E Vul, N Polikarpova, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | | 2021 |
Library learning for structured object concepts H Wang, J Fan ICML Workshop on Object-Oriented Learning: Perception, Representation, and …, 2020 | | 2020 |