All Publications

2015

J. Jara-Ettinger, Gweon, H., Tenenbaum, J. B., and Schulz, L., “Children’s understanding of the costs and rewards underlying rational action”, Cognition, vol. 140, pp. 14–23, 2015.PDF icon CM_inPress.pdf (438.5 KB)
CBMM Funded
C. Koch and Poggio, T., “A Science of Intelligence ”. 2015.PDF icon A Science of Intelligence.pdf (659.5 KB)
J. Z. Leibo, Liao, Q., Anselmi, F., and Poggio, T., “The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex”. 2015.Binary Data modularity_dataset_ver1.tar.gz (36.14 MB)
CBMM Funded
R. Magid and Schulz, L., “Quit while you’re ahead: Preschoolers’ persistence and willingness to accept challenges are affected by social comparison.”, Annual Meeting of the Cognitive Science Society (CogSci). Pasadena, CA, 2015.PDF icon 15_Cogsci_Magid&Schulz.pdf (513.72 KB)
CBMM Funded
P. Tsividis, Tenenbaum, J. B., and Schulz, L., “Hypothesis-Space Constraints in Causal Learning”, Annual Meeting of the Cognitive Science Society (CogSci). Pasadena, CA, 2015.PDF icon hypothesis_space_constraints (1).pdf (1.54 MB)
CBMM Funded
Y. Wu and Schulz, L., “A fine-grained understanding of emotions: Young children match within-valence emotional expressions to their causes”, Cognitive Science Conference (CogSci). pp. 2685-2690, 2015.PDF icon Cogsci Emotion pairings 2-4-15 Final version.pdf (729.07 KB)
CBMM Funded
I. Yildirim, Siegel, M., and Tenenbaum, J. B., “Perceiving Fully Occluded Objects with Physical Simulation”, in Cognitive Science Conference (CogSci), Pasadena, CA, 2015.
CBMM Funded
S. J. Gershman, Horvitz, E. J., and Tenenbaum, J. B., “Computational rationality: A converging paradigm for intelligence in brains, minds, and machines”, Science, vol. 349, no. 6245, pp. 273-278, 2015.
CBMM Funded
F. Anselmi, Leibo, J. Z., Rosasco, L., Mutch, J., Tacchetti, A., and Poggio, T., “Unsupervised learning of invariant representations”, Theoretical Computer Science, 2015.
CBMM Related
T. Poggio, “What if..”. 2015.PDF icon What if.pdf (2.09 MB)
CBMM Memo No.
035
F. Anselmi, Rosasco, L., Tan, C., and Poggio, T., “Deep Convolutional Networks are Hierarchical Kernel Machines”. 2015.PDF icon CBMM Memo 035_rev5.pdf (975.65 KB)
CBMM Funded
CBMM Memo No.
034
X. Chen and Yuille, A., “Parsing Occluded People by Flexible Compositions”, Computer Vision and Pattern Recognition (CVPR). 2015.PDF icon CBMM Memo 034.pdf (5.54 MB)
CBMM Funded
CBMM Memo No.
031
A. Yuille and Mottaghi, R., “Complexity of Representation and Inference in Compositional Models with Part Sharing”. 2015.PDF icon CBMM Memo 031.pdf (1.14 MB)
CBMM Funded
J. Jara-Ettinger, “Not So Innocent: Toddlers’ Inferences About Costs and Culpability”, Psychological Science , vol. 26, no. 5, pp. 633-40, 2015.PDF icon NotSoInnocent_InPress.pdf (238.53 KB)
CBMM Funded
C. Koch, “Lust and the Turing test [Nature] ”. Nature, 2015.PDF icon Lust and the Turing Test.pdf (203.1 KB)
E. Meyers, Borzello, M., Freiwald, W. A., and Tsao, D., “Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System”, The Journal of Neuroscience , vol. 35, no. 18, 2015.
CBMM Funded
D. Rockmore, “Our Mother the Machine, by Dan Rockmore [Huffpost] ”. Huffington Post, 2015.PDF icon Our Mother the Machine.pdf (199.73 KB)
P. Henry Winston, “Model-based Story Summary”, in 6th Workshop on Computational Models of Narrative, Atlanta, Georgia, 2015.
CBMM Related
CBMM Memo No.
033
J. Mao, Xu, W., Yang, Y., Wang, J., Huang, Z., and Yuille, A., “Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)”. 2015.PDF icon CBMM Memo 033.pdf (839.42 KB)
CBMM Funded
CBMM Memo No.
030
H. Shrobe, Katz, B., and Davis, R., “Towards a Programmer's Apprentice (Again)”. 2015.PDF icon CBMM-memo-030.pdf (294.27 KB)
CBMM Funded
CBMM Memo No.
029
F. Anselmi, Rosasco, L., and Poggio, T., “On Invariance and Selectivity in Representation Learning”. 2015.PDF icon CBMM Memo No. 029 (812.07 KB)
CBMM Funded
CBMM Memo No.
028
M. Nickel, Murphy, K., Tresp, V., and Gabrilovich, E., “A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction”. 2015.PDF icon CBMM Memo No. 028 (878.56 KB)
CBMM Funded
S. J. Gershman, Tenenbaum, J. B., and Jaekel, F., “Discovering hierarchical motion structure”, Vision Research, vol. Available online 26 March 2015, 2015.PDF icon hierarchical_motion.pdf (582.01 KB)
CBMM Funded
A. C. Spokes and Spelke, E. S., “Early reasoning about affiliation and kinship.”. Poster presentation at the Biennial Meeting of the Society for Research in Child Development, Philadelphia, PA, 2015.
CBMM Funded
J. K. Hartshorne, “The causes and consequences explicit in verbs”, Language, Cognition and Neuroscience, vol. 30, no. 6, pp. 716-734, 2015.
CBMM Related

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