All Publications

2019

A. Adler and Wax, M., Constant modulus algorithms via low-rank approximation, Signal Processing, vol. 160, pp. 263 - 270, 2019.
CBMM Funded
S. Ullman, Using neuroscience to develop artificial intelligence, Science, vol. 363, no. 6428, pp. 692 - 693, 2019.
CBMM Related
S. Srivastava, Ben-Yosef, G., and Boix, X., Minimal images in deep neural networks: Fragile Object Recognition in Natural Images, in International Conference on Learning Representations (ICLR), New Orleans, La, 2019.
CBMM Funded

2018

CBMM Funded
CBMM Memo No.
094
CBMM Funded
CBMM Funded
Y. - L. Kuo, Barbu, A., and Katz, B., Deep sequential models for sampling-based planning, in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 2018.PDF icon kuo2018planning.pdf (637.67 KB)
CBMM Funded
E. Meyers, Dynamic population coding and its relationship to working memory, Journal of Neurophysiology, vol. 120, no. 5, pp. 2260 - 2268, 2018.
CBMM Funded
CBMM Funded
A. Tacchetti, Isik, L., and Poggio, T., Invariant Recognition Shapes Neural Representations of Visual Input, Annual Review of Vision Science, vol. 4, no. 1, pp. 403 - 422, 2018.PDF icon annurev-vision-091517-034103.pdf (1.55 MB)
CBMM Funded
E. Zisselman, Adler, A., and Elad, M., Compressed Learning for Image Classification: A Deep Neural Network Approach, in Handbook of Numerical Analysis, vol. 19, Elsevier, 2018, pp. 3 - 17.
CBMM Related

Pages