All Publications

2016

B. Katz and Barbu, A., “A look back at the June 2016 BMM Workshop in Sestri Levante, Italy”. 2016.PDF icon Sestri Levante Review (359.33 KB)
CBMM Funded
A. Rosenfeld and Ullman, S., “Visual Concept Recognition and Localization via Iterative Introspection. ”, in Asian Conference on Computer Vision, 2016.PDF icon Focusing on parts of interest  (910.14 KB)
CBMM Related
M. Tegmark, “Improved Measures of Integrated Information”, PLOS Computational Biology, 2016.PDF icon 1601.02626.pdf (3.49 MB)
CBMM Related
CBMM Memo No.
057
Q. Liao, Kawaguchi, K., and Poggio, T., “Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning”. 2016.PDF icon CBMM-Memo-057.pdf (1.27 MB)
CBMM Funded
CBMM Memo No.
056
I. Dasgupta, Schulz, E., and Gershman, S. J., “Where do hypotheses come from?”. 2016.PDF icon CBMM-Memo-056-v2.pdf (733.35 KB)
CBMM Funded
CBMM Memo No.
053
G. Dehaene-Lambertz and Spelke, E. S., “The infancy of the human brain”. 2016.PDF icon CBMM-Memo-053.pdf (1.51 MB)
CBMM Funded
A. Owens, Isola, P., McDermott, J. H., Freeman, W. T., and Torralba, A., “Lecture Notes in Computer ScienceComputer Vision – ECCV 2016Ambient Sound Provides Supervision for Visual Learning”, 14th European Conference on Computer Vision. Cham, pp. 801 - 816, 2016.
CBMM Funded
H. Tang, Singer, J., Ison, M. J., Pivazyan, G., Romaine, M., Frias, R., Meller, E., Boulin, A., Carroll, J., Perron, V., Dowcett, S., Arellano, M., and Kreiman, G., “Predicting episodic memory formation for movie events”, Scientific Reports, no. 1, 2016.
CBMM Memo No.
055
Y. Berzak, Huang, Y., Barbu, A., Korhonen, A., and Katz, B., “Anchoring and Agreement in Syntactic Annotations”. 2016.PDF icon CBMM-Memo-055.pdf (768.54 KB)
CBMM Related
CBMM Memo No.
051
Y. Berzak, Barbu, A., Harari, D., Katz, B., and Ullman, S., “Do You See What I Mean? Visual Resolution of Linguistic Ambiguities”. 2016.PDF icon memo-51.pdf (2.74 MB)
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
J. Traer and McDermott, J. H., “Statistics of natural reverberation enable perceptual separation of sound and space”, Proceedings of the National Academy of Sciences, vol. 113, no. 48, pp. E7856 - E7865, 2016.
CBMM Funded
F. Xia, Wang, P., Chen, L. -chieh, and Yuille, A., “Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net”, in ECCV, Amsterdam, The Netherlands, 2016.PDF icon auto-zoom_net.pdf (5.77 MB)
CBMM Funded
C. E. Robertson, Hermann, K., Mynick, A., Kravitz, D. J., and Kanwisher, N., “Neural Representations Integrate the Current Field of View with the Remembered 360° Panorama”, Current Biology, 2016.
CBMM Funded
CBMM Memo No.
054
H. Mhaskar and Poggio, T., “Deep vs. shallow networks : An approximation theory perspective”. 2016.PDF icon Original submission, visit the link above for the updated version (960.27 KB)
CBMM Funded
Y. Berzak, Kenney, J., Spadine, C., Wang, J. Xian, Lam, L., Mori, K. Sophie, Garza, S., and Katz, B., “Treebank of Learner English (TLE)”. 2016.PDF icon acl2016.pdf (163.86 KB)
CBMM Funded
Z. Chen, Grosmark, A. D., Penagos, H., and Wilson, M. A., “Uncovering representations of sleep-associated hippocampal ensemble spike activity”, Scientific Reports, vol. 6, 2016.
CBMM Funded
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

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