All Publications

Submitted

2018

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

2017

CBMM Funded
A. Tacchetti, Isik, L., and Poggio, T., Invariant recognition drives neural representations of action sequences, PLOS Computational Biology, vol. 13, no. 12, p. e1005859, 2017.PDF icon journal.pcbi_.1005859.pdf (9.24 MB)
CBMM Funded
J. Wu, Lu, E., Kohli, P., Freeman, B., and Tenenbaum, J., Learning to See Physics via Visual De-animation, Advances in Neural Information Processing Systems 30. pp. 152–163, 2017.PDF icon Learning to See Physics via Visual De-animation (1.11 MB)
CBMM Funded
J. Wu, Wang, Y., Xue, T., Sun, X., Freeman, B., and Tenenbaum, J., MarrNet: 3D Shape Reconstruction via 2.5D Sketches, Advances in Neural Information Processing Systems 30. Curran Associates, Inc., Long Beach, CA, pp. 540–550, 2017.PDF icon MarrNet: 3D Shape Reconstruction via 2.5D Sketches (6.25 MB)
CBMM Funded
zhoutong zhang, Li, Q., Huang, Z., Wu, J., Tenenbaum, J., and Freeman, B., Shape and Material from Sound, Advances in Neural Information Processing Systems 30. Long Beach, CA, pp. 1278–1288, 2017.
CBMM Funded
CBMM Funded
CBMM Memo No.
070
CBMM Funded
CBMM Related
CBMM Funded
H. W. Lin and Tegmark, M., Why does deep and cheap learning work so well?, Journal of Statistical Physics, vol. 168, no. 6, pp. 1223–1247, 2017.PDF icon 1608.08225.pdf (2.14 MB)
CBMM Related
G. Kreiman, A null model for cortical representations with grandmothers galore, Language, Cognition and Neuroscience, pp. 274 - 285, 2017.
CBMM Funded
H. Penagos, Varela, C., and Wilson, M. A., Oscillations, neural computations and learning during wake and sleep, Current Opinion in Neurobiology, vol. 44C, no. June 2017, 2017.
CBMM Funded