All Publications

2020

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
T. Eisape, Levy, R., Tenenbaum, J. B., and Zaslavsky, N., Toward human-like object naming in artificial neural systems , in International Conference on Learning Representations (ICLR 2020), Bridging AI and Cognitive Science workshop, Virtual conference (due to Covid-19), 2020.
CBMM Funded
CBMM Related
CBMM Funded
N. Zaslavsky, Hu, J., and Levy, R., Emergence of Pragmatic Reasoning From Least-Effort Optimization , in 13th International Conference on the Evolution of Language (EvoLang) , The conference was canceled due to Covid-19, 2020.
CBMM Funded
CBMM Funded
W. A. Freiwald, The neural mechanisms of face processing: cells, areas, networks, and models, Current Opinion in Neurobiology, vol. 60, pp. 184 - 191, 2020.
CBMM Funded
G. Kreiman and Serre, T., Beyond the feedforward sweep: feedback computations in the visual cortex, Ann. N.Y. Acad. Sci. | Special Issue: The Year in Cognitive Neuroscience, vol. 1464, no. 1, pp. 222-241, 2020.PDF icon gk7812.pdf (1.93 MB)
CBMM Funded
G. Kreiman and Serre, T., Beyond the feedforward sweep: feedback computations in the visual cortex, Annals of the New York Academy of Sciences, vol. 1464, no. 1, pp. 222 - 241, 2020.
CBMM Funded
CBMM Funded
J. M. Hicks and McDermott, J. H., Segregation from Noise as Outlier Detection , in Association for Research in Otolaryngology, San Jose, CA, USA, 2020.
CBMM Funded
CBMM Funded
A. J. Thomas, Saxe, R., and Spelke, E. S., Infants represent 'like-kin' affiliation , in Budapest Conference on Cognitive Development, Budapest, Hungary, 2020.
CBMM Funded
Y. - L. Kuo, Katz, B., and Barbu, A., Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas, in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020.
CBMM Funded

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