All Publications

2017

G. Manek, Lin, J., Chandrasekhar, V., Duan, L., Giduthuri, S., Li, X., and Poggio, T., “Pruning Convolutional Neural Networks for Image Instance Retrieval”, 2017.PDF icon 1707.05455.pdf (143.46 KB)
CBMM Related
H. Penagos, Varela, C., and Wilson, M. A., “Oscillations, neural computations and learning during wake and sleep”, Current Opinion in Neurobiology, vol. 44C, no. June 2017, 2017.
CBMM Funded
A. Arsalan Soltani, Huang, H., Wu, J., Kulkarni, T., and Tenenbaum, J. B., “Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks”, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017.PDF icon Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks.pdf (2.86 MB)
CBMM Related
S. Stephan, Willemsen, P., and Gerstenberg, T., “Marbles in inaction: Counterfactual simulation and causation by omission”, Proceedings of the 39th Annual Conference of the Cognitive Science Society. 2017.PDF icon Marbles in Inaction Counterfactual Simulation and Causation by Omission, Stephan, Willemsen, Gerstenberg, 2017.pdf (1.46 MB)
CBMM Funded
I. Yildirim, Gerstenberg, T., Saeed, B., Toussant, M., and Tenenbaum, J. B., “Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints”, Proceedings of the 39th Annual Conference of the Cognitive Science Society. 2017.PDF icon Physical problem solving Joint planning with symbolic, geometric, and dynamic constraints, Yildirim et al., 2017.pdf (2.46 MB)
CBMM Funded
I. Yildirim, Janner, M., Belledonne, M., Wallraven, C., Freiwald, W. A., and Tenenbaum, J. B., “Causal and compositional generative models in online perception”, 39th Annual Meeting of the Cognitive Science Society - COGSCI 2017. London, UK, 2017.
CBMM Related
CBMM Memo No.
069
A. Volokitin, Roig, G., and Poggio, T., “Do Deep Neural Networks Suffer from Crowding?”. 2017.PDF icon CBMM-Memo-069.pdf (6.47 MB)
CBMM Funded
CBMM Memo No.
068
B. Subirana, Bagiati, A., and Sarma, S., “On the Forgetting of College Academics: at "Ebbinghaus Speed"?”. 2017.PDF icon CBMM Memo 068-On Forgetting - June 18th 2017 v2.pdf (713.7 KB)
CBMM Funded
A. Volokitin and Roig, G., “Do Deep Neural Networks Suffer from Crowding? [code]”. 2017.
CBMM Funded
CBMM Memo No.
063
F. Anselmi, Evangelopoulos, G., Rosasco, L., and Poggio, T., “Symmetry Regularization”. 2017.PDF icon CBMM-Memo-063.pdf (6.1 MB)
CBMM Funded
R. Magid, Yan, P., Siegel, M., Tenenbaum, J. B., and Schulz, L., “Changing minds: Children’s inferences about third party belief revision”, Developmental Science, p. e12553, 2017.PDF icon Changing Minds_MagidYanSiegelTenenbaumSchulz_in press.pdf (915.8 KB)
CBMM Funded
J. Sliwa and Freiwald, W. A., “A Dedicated Network for Social Interaction Processing in the Primate Brain”, Science, vol. Vol. 356, no. Issue 6339, pp. pp. 745-749, 2017.
CBMM Funded
P. Henry Winston and Holmes, D., “Character-building stories”, in Advances in Cognitive Systems, Troy, NY, 2017.
CBMM Related
CBMM Memo No.
067
C. Zhang, Liao, Q., Rakhlin, A., Sridharan, K., Miranda, B., Golowich, N., and Poggio, T., “Musings on Deep Learning: Properties of SGD”. 2017.PDF icon CBMM Memo 067 v2 (revised 7/19/2017) (5.88 MB)PDF icon CBMM Memo 067 v3 (revised 9/15/2017) (5.89 MB)PDF icon CBMM Memo 067 v4 (revised 12/26/2017) (5.57 MB)
CBMM Funded
S. Sadagopan, Zarco, W., and Freiwald, W. A., “A Causal Relationship Between Face-Patch Activity and Face-Detection Behavior”, eLife, 2017.PDF icon elife-18558-v1.pdf (813.71 KB)
CBMM Funded
CBMM Memo No.
066
T. Poggio and Liao, Q., “Theory II: Landscape of the Empirical Risk in Deep Learning”. 2017.PDF icon CBMM Memo 066_1703.09833v2.pdf (5.56 MB)
CBMM Funded
CBMM Memo No.
065
N. Cheney, Schrimpf, M., and Kreiman, G., “On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations”. 2017.PDF icon CBMM-Memo-065.pdf (687.76 KB)
CBMM Related
CBMM Memo No.
064
W. Lotter, Kreiman, G., and Cox, D., “Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning”. 2017.PDF icon CBMM-Memo-064.pdf (3 MB)
CBMM Funded
CBMM Memo No.
062
A. Tacchetti, Voinea, S., and Evangelopoulos, G., “Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets”. 2017.PDF icon CBMM-Memo-062.pdf (9.37 MB)
CBMM Funded
C. Baker, Jara-Ettinger, J., Saxe, R., and Tenenbaum, J. B., “Rational quantitative attribution of beliefs, desires, and percepts in human mentalizing”, Nature Human Behavior, vol. 1, no. 0064, 2017.PDF icon article.pdf (2.17 MB)
CBMM Funded
G. Ben-Yosef, Yachin, A., and Ullman, S., “A model for interpreting social interactions in local image regions”, in AAAI Spring Symposium Series, Science of Intelligence, Palo Alto, CA, 2017.PDF icon 2017-Ben-Yosef_Yachin_Ullman-A_model_for_interpreting_social_interactions_in_local_image_regions.pdf (1.53 MB)
CBMM Funded
S. Liu and Spelke, E. S., “Six-month-old infants expect agents to minimize the cost of their actions”, Cognition, vol. 160, pp. 35-42, 2017.
CBMM Funded
T. Poggio, Mhaskar, H., Rosasco, L., Miranda, B., and Liao, Q., “Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review”, International Journal of Automation and Computing, pp. 1-17, 2017.PDF icon art%3A10.1007%2Fs11633-017-1054-2.pdf (1.68 MB)
CBMM Funded
K. M. Scott and Schulz, L., “Lookit (Part 1): a new online platform for developmental research”, Open Mind, vol. 1, no. 1, 2017.PDF icon UNCORRECTED PROOF (561.21 KB)
CBMM Funded
K. M. Scott, Chu, J., and Schulz, L., “Lookit (Part 2): Assessing the viability of online developmental research, Results from three case studies”, Open Mind, vol. 1, no. 1, 2017.PDF icon lookitpart2.pdf (464.02 KB)
CBMM Funded

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