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

Y. Xiang, Graeber, T., Enke, B., and Gershman, S. J., Confidence and central tendency in perceptual judgment, Attention, Perception, & Psychophysics, vol. 83, no. 7, pp. 3024 - 3034, 2021.
CBMM Funded
Y. Du, Smith, K. A., Ullman, T., Tenenbaum, J. B., and Wu, J., Unsupervised Discovery of 3D Physical Objects, in International Conference on Learning Representations, 2021.
CBMM Related
CBMM Related
CBMM Funded
W. A. Freiwald and Hosoya, H., Neuroscience: A Face’s Journey through Space and Time, Current Biology, vol. 31, no. 1, pp. R13 - R15, 2021.
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

T. Poggio, Banburski, A., and Liao, Q., Theoretical issues in deep networks, Proceedings of the National Academy of Sciences, p. 201907369, 2020.PDF icon PNASlast.pdf (915.3 KB)
CBMM Funded
CBMM Funded

Pages