All Publications

2017

Y. Han, Roig, G., Geiger, G., and Poggio, T. A., Is the Human Visual System Invariant to Translation and Scale?, in AAAI Spring Symposium Series, Science of Intelligence, 2017.
CBMM Funded
W. Kool, Gershman, S. J., and Cushman, F. A., Thinking fast or slow? A reinforcement-learning approach, Society for Personality and Social Psychology. San Antonio, TX, 2017.PDF icon KoolEtAl_SPSP_2017.pdf (670.35 KB)
CBMM Funded
S. Liu, Ullman, T., Tenenbaum, J. B., and Spelke, E., Ten-month-old infants infer value from effort, Society for Research in Child Development. 2017.
CBMM Funded
E. Meyers, A Data Science approach to analyzing neural data, in Joint Statistical Meetings, 2017.
CBMM Funded
W. Mlynarski and McDermott, J. H., Learning Mid-Level Codes for Natural Sounds, Association for Otolaryngology Mid-Winter Meeting. 2017.
CBMM Funded
W. Mlynarski and McDermott, J. H., Lossy Compression of Uninformative Stimuli in the Auditory System, Association for Otolaryngology Mid-Winter Meeting. 2017.
CBMM Funded
CBMM Funded
J. Mutch, Anselmi, F., Tacchetti, A., Rosasco, L., Leibo, J., and Poggio, T. A., Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex, in Computational and Cognitive Neuroscience of Vision, Springer, 2017, pp. 85-104.
CBMM Funded
CBMM Related
A. C. Spokes, Howard, R., Mehr, S., and Krasnow, M. M., Like Adults, children make consistent welfare tradeoff allocations, in Budapest CEU Conference on Cognitive Development, Budapest, Hungary, 2017.
CBMM Related
A. C. Spokes, Howard, R., Mehr, S. A., and Krasnow, M. M., Like adults, children make consistent welfare tradeoff allocations, Society for Research in Child Development Biennial Meeting. Austin, Texas, 2017.
CBMM Related
CBMM Funded
H. Tang, Kreiman, G., and Zhao, Q., Recognition of occluded objects, in Computational and Cognitive Neuroscience of Vision, Springer Singapore, 2017.
CBMM Funded

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
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. A., 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
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