All Publications

2019

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
CBMM Memo No.
096
CBMM Funded
J. Sliwa, Marvel, S. R., Ianni, G. A., and Freiwald, W. A., Comparing human and monkey neural circuits for processing social scenes, Social & Affective Neuroscience Society (SANS). Brooklyn, NY , 2018.
CBMM Related
CBMM Funded

2017

CBMM Related
M. Janner, Wu, J., Kulkarni, T., Yildirim, I., and Tenenbaum, J. B., Self-supervised intrinsic image decomposition., in Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, 2017.PDF icon intrinsicImg_nips_2017.pdf (5.87 MB)
CBMM Funded
CBMM Funded
H. Lin and Tegmark, M., Why does deep and cheap learning work so well?, Journal of Statistical Physics, vol. 168, no. 6, pp. 1223–1247, 2017.PDF icon 1608.08225.pdf (2.14 MB)
CBMM Related
CBMM Related

Pages