All Publications

2016

CBMM Memo No.
050
Y. Berzak, Reichart, R., and Katz, B., “Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL”. 2016.PDF icon memo-50.pdf (493.74 KB)
CBMM Funded
CBMM Memo No.
052
Y. Berzak, Kenney, J., Spadine, C., Wang, J. Xian, Lam, L., Mori, K. Sophie, Garza, S., and Katz, B., “Universal Dependencies for Learner English”. 2016.PDF icon memo-52_rev1.pdf (472.67 KB)
CBMM Funded
CBMM Memo No.
049
J. Z. Leibo, Liao, Q., Freiwald, W. A., Anselmi, F., and Poggio, T., “View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation”. 2016.PDF icon faceMirrorSymmetry_memo_ver01.pdf (3.93 MB)
CBMM Funded
J. Fischer, Mikhael, J. G., Tenenbaum, J. B., and Kanwisher, N., “Functional neuroanatomy of intuitive physical inference”, Proceedings of the National Academy of Sciences, vol. 113, no. 34, pp. E5072 - E5081, 2016.
CBMM Funded
H. Lin and Tegmark, M., “Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language”, arXiv.org, 2016.PDF icon Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language (1.64 MB)
CBMM Related
J. Mao, Huang, J., Toshev, A., Camburu, O., Yuille, A., and Murphy, K., “Generation and Comprehension of Unambiguous Object Descriptions”, in The Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, 2016.PDF icon object_description_cbmm.pdf (2.21 MB)
CBMM Funded
A. Owens, Isola, P., McDermott, J. H., Torralba, A., Adelson, E. H., and Freeman, W. T., “Visually indicated sounds”, in Conference on Computer Vision and Pattern Recognition, 2016.PDF icon Owens_etal_2016_visually_indicated_sounds_CVPR.pdf (7.57 MB)
CBMM Related
CBMM Memo No.
048
E. Schulz, Tenenbaum, J. B., Duvenaud, D., Speekenbrink, M., and Gershman, S. J., “Probing the compositionality of intuitive functions”. 2016.PDF icon CBMM-Memo-048.pdf (815.72 KB)
CBMM Related
F. Anselmi, Rosasco, L., and Poggio, T., “On invariance and selectivity in representation learning”, Information and Inference: A Journal of the IMA, p. iaw009, 2016.PDF icon imaiai.iaw009.full_.pdf (267.87 KB)
CBMM Funded
H. L. Kosakowski, Powell, L. J., and Spelke, E. S., “Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors”, International Conference on Infant Studies (ICIS). New Orleans, Louisiana, 2016.PDF icon Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors (45.21 MB)
CBMM Funded
S. Liu, Brooks, N. B., and Spelke, E. S., “Pre-reaching infants expect causal agents to act efficiently without motor training”, 20th Biennial International Conference on Infant Studies (ICIS). 2016.
CBMM Funded
M. F. Peterson, Lin, J., Zaun, I., and Kanwisher, N., “Individual Differences in Face Looking Behavior Generalize from the Lab to the World”, Journal of Vision, vol. 16, no. 7, 2016.PDF icon Real World Face Fixations, Journal of Vision article, 2016 (20.25 MB)
CBMM Funded
D. Rockmore, “Is it time for a presidential technoethics commission”. The Conversation, 2016.PDF icon rockmore - Is it time for a presidential technoethics commission.pdf (280.2 KB)
A. C. Spokes, “How Infants Reason About Affective States and Social Interactions”, International Conference on Infant Studies (ICIS) . New Orleans, Louisiana , 2016.
CBMM Funded
A. C. Spokes and Spelke, E. S., “Early Reasoning about Affiliation and Social Networks”, in International Conference on Infant Studies (ICIS), New Orleans, LA, 2016.
CBMM Funded
A. C. Spokes and Spelke, E. S., “The Functions of Infants’ Social Categorization: Early Reasoning about Affiliation and Social Networks”, in International Conference on Infant Studies (ICIS), New Orleans, Louisiana, 2016.
CBMM Funded
T. Ullman, Tenenbaum, J. B., and Spelke, E. S., “Effort as a bridging concept across action and action understanding: Weight and Physical Effort in Predictions of Efficiency in Other Agents”, in International Conference on Infant Studies (ICIS) , New Orleans, Louisiana, 2016.
CBMM Funded
CBMM Memo No.
047
Q. Liao and Poggio, T., “Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex”. 2016.PDF icon CBMM Memo No. 047 (1.29 MB)
CBMM Funded
CBMM Memo No.
046
B. M. Lake, Ullman, T., Tenenbaum, J. B., and Gershman, S. J., “Building machines that learn and think like people”. 2016.PDF icon machines_that_think.pdf (3.45 MB)
CBMM Funded
T. Poggio, “Deep Learning: mathematics and neuroscience”. 2016.PDF icon Deep Learning- mathematics and neuroscience.pdf (1.25 MB)
O. Morère, Veillard, A., Chandrasekhar, V., and Poggio, T., “Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval”, arXiv.org, 2016.PDF icon 1603.04595.pdf (2.9 MB)
CBMM Related
T. Poggio and Meyers, E., “Turing++ Questions: A Test for the Science of (Human) Intelligence.”, AI Magazine, vol. 37 , no. 1, pp. 73-77, 2016.PDF icon Turing_Plus_Questions.pdf (424.91 KB)
CBMM Funded
C. Tan and Poggio, T., “Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing”, Public Library of Science | PLoS ONE , vol. 1(3): e0150980, 2016.PDF icon journal.pone_.0150980.PDF (384.15 KB)
CBMM Funded
S. Ullman, Assif, L., Fetaya, E., and Harari, D., “Atoms of recognition in human and computer vision”, PNAS , vol. 113, no. 10, pp. 2744–2749, 2016.PDF icon mirc_author_manuscript_with_figures_and_SI-2.pdf (1.65 MB)
CBMM Funded
P. Henry Winston, “Marvin L. Minsky (1927–2016) Scientist and inventor was a visionary founder of AI”. 2016.PDF icon Marvin L. Minsky (1927–2016) Scientist and inventor was a visionary founder of AI.pdf (559.42 KB)

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