All Publications

2017

J. Traer and McDermott, J. H., “Auditory Perception of Material and Force from Impact Sounds”, Annual Meeting of Association for Research in Otolaryngology. 2017.
CBMM Related
J. Traer and McDermott, J. H., “A library of real-world reverberation and a toolbox for its analysis and measurement”, Annual Meeting of Acoustical Society of America. 2017.
CBMM Related
J. Traer and McDermott, J. H., “Investigating audition with a generative model of impact sounds”, Annual Meeting of Acoustical Society of America. 2017.
CBMM Related

2016

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
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
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
M. Tegmark, “Improved Measures of Integrated Information”, PLOS Computational Biology, 2016.PDF icon 1601.02626.pdf (3.49 MB)
CBMM Related
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
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
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
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
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
W. Mlynarski and McDermott, J. H., “Learning mid-level codes for natural sounds”, Computational and Systems Neuroscience (Cosyne) 2016. Salt Lake City, UT, 2016.PDF icon Wiktor_COSYNE_2015_hierarchy_final.pdf (2.52 MB)
CBMM Funded
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Codes for Natural Sounds”, Advances and Perspectives in Auditory Neuroscience. 2016.PDF icon APAN_large_JHM kopia.pdf (19.74 MB)
CBMM Funded
W. Mlynarski and McDermott, J. H., “Lossy Compression of Sound Texture by the Human Auditory System”, Society for Neuroscience Meeting. 2016.
CBMM Funded
M. Nickel, Rosasco, L., and Poggio, T., “Holographic Embeddings of Knowledge Graphs”, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, USA, 2016.PDF icon 1510.04935v2.pdf (360.65 KB)
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, 2016.
CBMM Funded
J. Traer and McDermott, J. H., “Environmental statistics enable perceptual separation of sound and space”, Speech and Audio in the Northeast. 2016.
CBMM Related

2015

M. Buice and de Vries, S., “Population Coding, Correlations, and Functional Connectivity in the mouse visual system with the Cortical Activity Map (CAM)”, Society for Neuroscience 2015. 2015.PDF icon 2015 SFN Population_Coding.pdf (2.94 MB)
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
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

2014

T. Poggio, “Is Research in Intelligence an Existential Risk?”. 2014.PDF icon Is Research in Intelligence an Existential Risk.pdf (571.42 KB)
CBMM Funded

2012

N. Dehghani, Hatsopoulos, N., Haga, Z., Parker, R., Greger, B., Halgren, E., Cash, S., and Destexhe, A., “Avalanche analysis from multielectrode ensemble recordings in cat, monkey, and human cerebral cortex during wakefulness and sleep”, Frontiers in Physiology, 2012.PDF icon AvalancheDynamics.pdf (2.45 MB)
CBMM Related

Pages