All Publications

2019

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
W. Kool and Botvinick, M., Mental labour, Nature Human Behaviour, vol. 2, no. 12, pp. 899 - 908, 2018.
CBMM Funded
CBMM Funded
CBMM Memo No.
094
CBMM Funded
J. P. McCoy and Ullman, T. D., A Minimal Turing Test, Journal of Experimental Social Psychology, vol. 79, pp. 1 - 8, 2018.
CBMM Related
CBMM Funded
W. Kool, Gershman, S. J., and Cushman, F. A., Planning Complexity Registers as a Cost in Metacontrol, Journal of Cognitive Neuroscience, vol. 30, no. 10, pp. 1391 - 1404, 2018.
CBMM Funded
Y. - L. Kuo, Barbu, A., and Katz, B., Deep sequential models for sampling-based planning, in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 2018.PDF icon kuo2018planning.pdf (637.67 KB)
CBMM Funded

Pages