All Publications

2022

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

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

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
CBMM Funded

2018

R. Saxe, Imaging the infant brain, Japanese Society for Neuroscience, vol. Kobe Japan. 2018.
CBMM Related
CBMM Related

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
J. Wu, Wang, Y., Xue, T., Sun, X., Freeman, W. T., and Tenenbaum, J. B., MarrNet: 3D Shape Reconstruction via 2.5D Sketches, Advances in Neural Information Processing Systems 30. Curran Associates, Inc., Long Beach, CA, pp. 540–550, 2017.PDF icon MarrNet: 3D Shape Reconstruction via 2.5D Sketches (6.25 MB)
CBMM Funded

Pages