All Publications

2018

CBMM Related
W. Mlynarski and McDermott, J. H., Learning Mid-Level Auditory Codes from Natural Sound Statistics, Neural Computation, vol. 30, no. 3, pp. 631-669, 2018.
CBMM Funded
W. Mlynarski and McDermott, J. H., Co-occurrence statistics of natural sound features predict perceptual grouping, Computational and Systems Neuroscience (COSYNE). Denver, Colorado, 2018.
CBMM Funded
CBMM Related
CBMM Funded
B. Katz, Borchardt, G., Felshin, S., and Mora, F., A Natural Language Interface for Mobile Devices, in The Wiley Handbook of Human Computer Interaction, First., vol. 2, John Wiley & Sons , 2018, pp. 539-559.
CBMM Funded
M. Araya-Polo, Jennings, J., Adler, A., and Dahlke, T., Deep-learning tomography, The Leading Edge, vol. 37, no. 1, pp. 58 - 66, 2018.PDF icon TLE2018.pdf (1.9 MB)
CBMM Funded
G. Ben-Yosef, Assif, L., and Ullman, S., Full interpretation of minimal images, Cognition, vol. 171, pp. 65 - 84, 2018.
CBMM Funded
A. Adler and Wax, M., Constant Modulus Beamforming Via Low-Rank Approximation, in 2018 IEEE Statistical Signal Processing Workshop (SSP), Freiburg im Breisgau, Germany, 2018.
CBMM Related
CBMM Funded
T. Poggio and Liao, Q., Theory I: Deep networks and the curse of dimensionality, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 66, no. 6, 2018.PDF icon 02_761-774_00966_Bpast.No_.66-6_28.12.18_K1.pdf (1.18 MB)
CBMM Funded
T. Poggio and Liao, Q., Theory II: Deep learning and optimization, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 66, no. 6, 2018.PDF icon 03_775-788_00920_Bpast.No_.66-6_31.12.18_K2.pdf (5.43 MB)
CBMM Funded
J. Sliwa, Marvel, S. R., Ianni, G. A., and Freiwald, W. A., Comparing human and monkey neural circuits for processing social scenes, Cognitive Neuroscience Society Annual Meeting (CNS), Boston, MA. 2018.
CBMM Funded

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