All Publications

2019

S. Liu, Cushman, F. A., Gershman, S. J., Kool, W., and Spelke, E. S., “Hard choices: Children’s understanding of the cost of action selection. ”, in Cognitive Science Society, 2019.PDF icon phk_cogsci_2019_final.pdf (276.14 KB)
CBMM Funded
S. Liu, McCoy, J. P., and Ullman, T. D., “People's perceptions of others’ risk preferences.”, in Cognitive Science Society, 2019.PDF icon risk_cogsci_2019_final.pdf (899.8 KB)
CBMM Funded
S. Liu, Brooks, N. B., and Spelke, E. S., “Origins of the concepts cause, cost, and goal in prereaching infants.”, Cognitive Development Society. 2019.PDF icon liu_etal_lumi_cds2019_final.pdf (22.95 MB)
CBMM Funded

2018

L. J. Powell and Spelke, E. S., “Third-Party Preferences for Imitators in Preverbal Infants”, Open Mind, vol. 2, no. 2, pp. 61 - 71, 2018.
CBMM Funded
J. Sliwa, Marvel, S. R., Ianni, G. A., and Freiwald, W. A., “Comparing human and monkey neural circuits for processing social scenes”, Société Francophone de Primatologie (SFDP) Annual Meeting, Paris, France. 2018.
CBMM Funded
Y. Hart, Dillon, M. R., Marantan, A., Cardenas, A. L., Spelke, E. S., and Mahadevan, L., “The statistical shape of geometric reasoning”, Scientific Reports, vol. 8, no. 1, 2018.
CBMM Funded
M. Toussaint, Allen, K., Smith, K. A., and Tenenbaum, J. B., “Differentiable physics and stable modes for tool-use and manipulation planning”, Robotics: Science and Systems 2018. 2018.PDF icon ToussaintEtAl_DiffPhysStable.pdf (1.97 MB)
CBMM Related
J. Sliwa, Marvel, S. R., Ianni, G. A., and Freiwald, W. A., “Comparing human and monkey neural circuits for processing social scenes”, Cognitive Neuroscience Society Annual Meeting (CNS), Boston, MA. 2018.
CBMM Funded

2017

R. Saxe and Houlihan, S. D., “Formalizing emotion concepts within a Bayesian model of theory of mind”, Current Option in Psychology, vol. 17, pp. 15-21, 2017.PDF icon 1-s2.0-S2352250X17300283-main.pdf (613.77 KB)
CBMM Funded
A. Arsalan Soltani, Huang, H., Wu, J., Kulkarni, T., and Tenenbaum, J. B., “Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks”, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017.PDF icon Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks.pdf (2.86 MB)
CBMM Funded
S. D. Houlihan and Saxe, R., “Modeling emotion attributions as inference in an intuitive theory of mind.”, Mechanisms Underlying Emotion Regulation and Developmental Psychopathology. University of Wisconsin - Madison, 2017.
CBMM Funded

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