Samuel Gershman

Current Advisees

Thomas Pouncy - Graduate Student
Prashant Raju - Research Assistant
Honi Sanders - Postdoc
Felix Sosa - Graduate Student
Momchil Tomov - Postdoc
Natalia Velez - Postdoc

Past Advisees

Ishita Dasgupta - Graduate Student
Wouter Kool - Postdoctoral Fellow
Eric Schulz - Postdoc

Projects

CBMM Publications

I. Dasgupta and Gershman, S. J., Memory as a Computational Resource, Trends in Cognitive Sciences, vol. 25, no. 3, pp. 240 - 251, 2021.
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.
S. J. Gershman, How to never be wrong, Psychonomic Bulletin & Review, vol. 26, no. 1, pp. 13 - 28, 2019.
S. J. Gershman, The Generative Adversarial Brain, Frontiers in Artificial Intelligence, vol. 2, 2019.
W. Kool, Gershman, S. J., and Cushman, F. A., Planning Complexity Registers as a Cost in Metacontrol, Journal of Cognitive Neuroscience, vol. 30, no. 10, pp. 1391 - 1404, 2018.
W. Kool, Gershman, S. J., and Cushman, F. A., Thinking fast or slow? A reinforcement-learning approach, Society for Personality and Social Psychology. San Antonio, TX, 2017.
W. Kool, Cushman, F. A., and Gershman, S. J., When Does Model-Based Control Pay Off?, PLoS Comput Biol, vol. 12, no. 8, p. e1005090, 2016.
P. Tsividis, Gershman, S. J., Tenenbaum, J. B., and Schulz, L., Information Selection in Noisy Environments with Large Action Spaces, 9th Biennial Conference of the Cognitive Development Society, vol. Columbus, OH. 2015.
S. J. Gershman, Tenenbaum, J. B., and Jaekel, F., Discovering hierarchical motion structure, Vision Research, vol. Available online 26 March 2015, 2015.