All Publications

2020

J. Bill, Pailian, H., Gershman, S. J., and Drugowitsch, J., Hierarchical structure is employed by humans during visual motion perception, Proceedings of the National Academy of Sciences, vol. 117, no. 39, pp. 24581 - 24589, 2020.
CBMM Related
CBMM Funded
CBMM Memo No.
112
CBMM Funded
H. Mhaskar and Poggio, T., Function approximation by deep networks, Communications on Pure & Applied Analysis, vol. 19, no. 8, pp. 4085 - 4095, 2020.PDF icon 1534-0392_2020_8_4085.pdf (514.57 KB)
CBMM Funded
CBMM Funded
CBMM Funded
Y. - L. Kuo, Katz, B., and Barbu, A., Deep compositional robotic planners that follow natural language commands , in International Conference on Robotics and Automation (ICRA), Palais des Congrès de Paris, Paris, France, 2020.
CBMM Funded
G. Ben-Yosef, Kreiman, G., and Ullman, S., What can human minimal videos tell us about dynamic recognition models?, in International Conference on Learning Representations (ICLR 2020), Virtual Conference, 2020.PDF icon Authors' final version (516.09 KB)
CBMM Funded
I. Dasgupta, Schulz, E., Tenenbaum, J. B., and Gershman, S. J., A theory of learning to infer., Psychological Review, vol. 127, no. 3, pp. 412 - 441, 2020.
CBMM Funded

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