All Publications

2019

A. Adler and Wax, M., Constant modulus algorithms via low-rank approximation, Signal Processing, vol. 160, pp. 263 - 270, 2019.
CBMM Funded
A. Adler, Araya-Polo, M., and Poggio, T., Deep Recurrent Architectures for Seismic Tomography, in 81st EAGE Conference and Exhibition 2019, 2019.
CBMM Funded
CBMM Memo No.
098
CBMM Funded
CBMM Funded
S. J. Gershman, How to never be wrong, Psychonomic Bulletin & Review, vol. 26, no. 1, pp. 13 - 28, 2019.
CBMM Funded
S. Ullman, Using neuroscience to develop artificial intelligence, Science, vol. 363, no. 6428, pp. 692 - 693, 2019.
CBMM Related
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
K. Dobs, Isik, L., Pantazis, D., and Kanwisher, N., How face perception unfolds over time, Nature Communications, vol. 10, no. 1, 2019.
CBMM Funded
CBMM Related
CBMM Funded
M. Araya-Polo, Adler, A., Farris, S., and Jennings, J., Fast and Accurate Seismic Tomography via Deep Learning, in Deep Learning: Algorithms and Applications, SPRINGER-VERLAG, 2019.
CBMM Related
S. Srivastava, Ben-Yosef, G., and Boix, X., Minimal images in deep neural networks: Fragile Object Recognition in Natural Images, in International Conference on Learning Representations (ICLR), New Orleans, La, 2019.
CBMM Funded
W. Xiao, Chen, H., Liao, Q., and Poggio, T., Biologically-Plausible Learning Algorithms Can Scale to Large Datasets, in International Conference on Learning Representations, 2019.
CBMM Funded

2018

CBMM Funded

Pages