All Publications

2016

W. Lotter, Kreiman, G., and Cox, D., Unsupervised Learning of Visual Structure using Predictive Generative Networks, in International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, 2016.
CBMM Funded
CBMM Related
M. Nickel, Murphy, K., Tresp, V., and Gabrilovich, E., A Review of Relational Machine Learning for Knowledge Graphs, Proceedings of the IEEE, vol. 104, no. 1, pp. 11 - 33, 2016.PDF icon 1503.00759v3.pdf (1.53 MB)
CBMM Funded
Q. Liao, Leibo, J. Z., and Poggio, T., How Important Is Weight Symmetry in Backpropagation?, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ., 2016.PDF icon liao-leibo-poggio.pdf (191.91 KB)
CBMM Funded
B. Conway, Lafer-Sousa, R., and Hermann, K., Mechanisms of color perception and cognition covered by# thedress, VSS 2016, vol. 16, no. 12. Journal of Vision, pp. 746-746, 2016.
CBMM Related
W. Kool, Cushman, F. A., and Gershman, S. J., When Does Model-Based Control Pay Off?, PLoS Comput Biol, vol. 12, no. 8, p. e1005090, 2016.PDF icon KoolEtAl_PLOS_CB.PDF (5.85 MB)
CBMM Funded
K. Allen, Yildirim, I., and Tenenbaum, J. B., Integrating Identification and Perception: A case study of familiar and unfamiliar face processing, in Proceedings of the Thirty-Eight Annual Conference of the Cognitive Science Society, 2016.PDF icon allen_5_13.pdf (2.13 MB)
CBMM Related
T. Poggio, Deep Leaning: Mathematics and Neuroscience, A Sponsored Supplement to Science, vol. Brain-Inspired intelligent robotics: The intersection of robotics and neuroscience, pp. 9-12, 2016.
CBMM Funded
G. Ben-Yosef, Yachin, A., and Ullman, S., Recognizing and Interpreting Social Interactions in Local Image Regions, The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA. 2016.
CBMM Funded
M. Tegmark, Improved Measures of Integrated Information, PLOS Computational Biology, 2016.PDF icon 1601.02626.pdf (3.49 MB)
CBMM Related
CBMM Memo No.
056
CBMM Funded
CBMM Memo No.
053
CBMM Funded
Z. Chen, Linderman, S. W., and Wilson, M. A., Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes, in IEEE Workshop on Machine Learning for Signal Processing, Salerno, Italy, 2016.PDF icon MLSP16 (1).pdf (1.04 MB)
CBMM Funded
T. Poggio and Anselmi, F., Visual Cortex and Deep Networks: Learning Invariant Representations. Cambridge, MA, USA: The MIT Press, 2016, p. 136.
CBMM Funded

Pages