All Publications

2022

W. Berrios and Deza, A., “Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4”, in BrainScore Workshop at COSYNE, 2022.
CBMM Funded
A. Harrington and Deza, A., “Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks”, International Conference on Learning Representations (ICLR). 2022.
CBMM Funded

2021

S. Dae Houlihan, Tenenbaum, J. B., and Saxe, R., The Neural Basis of Mentalizing: Linking Models of Theory of Mind and Measures of Human Brain Activity. Cham: Springer International Publishing, 2021, pp. 209 - 235.
CBMM Funded
C. Li and Deza, A., “What Matters In Branch Specialization? Using a Toy Task to Make Predictions”, in Shared Visual Representations in Human and Machine Intelligence (SVRHM) Workshop at NeurIPS, 2021.
CBMM Funded
B. Wang, Mayo, D., Deza, A., Barbu, A., and Conwell, C., “On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation”, in Shared Visual Representations in Human and Machine Intelligence (SVRHM) Workshop at NeurIPS, 2021.
CBMM Funded

2020

S. Liu, “Nature and origins of intuitive psychology in human infants”, 2020.
CBMM Funded

2019

S. Liu, Brooks, N. B., and Spelke, E. S., “Origins of the concepts cause, cost, and goal in prereaching infants”, PNAS, 2019.PDF icon Author's last draft (2.58 MB)
CBMM Funded
T. D. Ullman, Kosoy, E., Yildirim, I., Soltani, A. Arsalan, Siegel, M., Tenenbaum, J. B., and Spelke, E. S., “Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects”, Cognitive Science Society. Montreal, Canada, 2019.PDF icon Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects.pdf (2.62 MB)
CBMM Funded
S. Ullman, Dorfman, N., and Harari, D., “A model for discovering ‘containment’ relations”, Cognition, vol. 183, pp. 67 - 81, 2019.
CBMM Related
C. I. Calero, Shalom, D. E., Spelke, E. S., and Sigman, M., “Language, gesture, and judgment: Children’s paths to abstract geometry”, Journal of Experimental Child Psychology, vol. 177, pp. 70 - 85, 2019.
CBMM Funded
N. Fazeli, Oller, M., Wu, J., Wu, Z., Tenenbaum, J. B., and Rodriguez, A., “See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion”, Science Robotics, vol. 4, no. 26, p. eaav3123, 2019.
CBMM Funded
I. Yildirim, Wu, J., Kanwisher, N., and Tenenbaum, J. B., “An integrative computational architecture for object-driven cortex”, Current Opinion in Neurobiology, vol. 55, pp. 73 - 81, 2019.
CBMM Funded
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

T. D. Ullman, Stuhlmüller, A., Goodman, N. D., and Tenenbaum, J. B., “Learning physical parameters from dynamic scenes.”, Cognitive Psychology, vol. 104, pp. 57-82, 2018.PDF icon T-Ullman-etal_CogPsych_LearningPhysicalParametersFromDynamicScenes.pdf (3.15 MB)
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
A. C. Spokes and Spelke, E. S., “At 4.5 but not 5.5 years, children favor kin when the stakes are moderately high”, PLOS ONE, vol. 13, no. 8, 2018.
CBMM Related
R. Saxe, “Imaging the infant brain”, Japanese Society for Neuroscience, vol. Kobe Japan. 2018.
CBMM Related
Y. Wu, Baker, C., Tenenbaum, J. B., and Schulz, L., “Rational inference of beliefs and desires from emotional expressions”, Cognitive Science, vol. 42, no. 3, 2018.PDF icon Wu_Baker_Tenenbaum_Schulz_in_press_cognitive_science.pdf (1.65 MB)
CBMM Funded
M. R. Dillon and Spelke, E. S., “From Map Reading to Geometric Intuitions”, Developmental Psychology, 2018.
CBMM Related
O. Lewis, “Structured learning and inference with neural networks and generative models”, 2018.
CBMM Funded

2017

J. A. Leonard, Lee, Y., and Schulz, L., “Infants make more attempts to achieve a goal when they see adults persist”, Science, vol. 357, no. 6357, pp. 1290 - 1294, 2017.
CBMM Funded
J. Jara-Ettinger, Floyd, S., Tenenbaum, J. B., and Schulz, L., “Children understand that agents maximize expected utilities.”, Journal of Experimental Psychology: General, vol. 146, no. 11, pp. 1574 - 1585, 2017.PDF icon ExpectedUtilities_Final.pdf (950.09 KB)
CBMM Related
J. Wu, Lu, E., Kohli, P., Freeman, W. T., and Tenenbaum, J. B., “Learning to See Physics via Visual De-animation”, Advances in Neural Information Processing Systems 30. pp. 152–163, 2017.PDF icon Learning to See Physics via Visual De-animation (1.11 MB)
CBMM Funded

Pages