All Publications

Submitted

H. W. Lin and Tegmark, M., Why does deep and cheap learning work so well?, arXiv preprint arXiv:1608.08225, Submitted.PDF icon 1608.08225.pdf (2.14 MB)
CBMM Related

2017

F. Chen, Roig, G., Isik, L., Boix, X., and Poggio, T., Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision, in AAAI Spring Symposium Series, Science of Intelligence, 2017.PDF icon paper.pdf (963.87 KB)
CBMM Funded
Y. Han, Roig, G., Geiger, G., and Poggio, T., Is the Human Visual System Invariant to Translation and Scale?, in AAAI Spring Symposium Series, Science of Intelligence, 2017.
CBMM Funded
H. Mhaskar, Liao, Q., and Poggio, T., When and Why Are Deep Networks Better Than Shallow Ones?, AAAI-17: Thirty-First AAAI Conference on Artificial Intelligence. 2017.
CBMM Funded
J. Mutch, Anselmi, F., Tacchetti, A., Rosasco, L., Leibo, J. Z., and Poggio, T., Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex, in Computational and Cognitive Neuroscience of Vision, Springer, 2017, pp. 85-104.
CBMM Funded
A. Tacchetti, Voinea, S., Evangelopoulos, G., and Poggio, T., Representation Learning from Orbit Sets for One-shot Classification, in AAAI Spring Symposium Series, Science of Intelligence, AAAI, 2017.
CBMM Funded
D. Theurel, Modeling brain dynamics using mathematics from quantum mechanics, Peter Chin's Lab, Boston University, vol. Boston University. 2017.
CBMM Related

2016

W. Lotter, Kreiman, G., and Cox, D., Unsupervised Learning of Visual Structure using Predictive Generative Networks, in International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, 2016.
CBMM Funded
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
Q. Liao, Leibo, J. Z., and Poggio, T., How Important Is Weight Symmetry in Backpropagation?, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ., 2016.PDF icon liao-leibo-poggio.pdf (191.91 KB)
CBMM Funded
T. Poggio, Deep Leaning: Mathematics and Neuroscience, A Sponsored Supplement to Science, vol. Brain-Inspired intelligent robotics: The intersection of robotics and neuroscience, pp. 9-12, 2016.
CBMM Funded