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Joshua Tenenbaum

Massachusetts Institute of Technology, Cambridge, MA, United States 
Computation & Theory
"Joshua Tenenbaum"
Mean distance: 13.11 (cluster 23)


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Michael J. Tarr research assistant Yale University
Roger Newland Shepard research assistant 1991-1991 Stanford
Whitman Richards grad student 1999 MIT


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Ronnie E. Bryan research assistant 2002-2004 MIT
Jessica B. Hamrick research assistant 2009-2012 MIT
Michael B Chang research assistant 2015-2017 MIT
Chris L. Baker grad student MIT
Steven T. Piantadosi grad student MIT
Julian Jara-Ettinger grad student 2011- MIT
Max Kleiman-Weiner grad student 2012- MIT
Sean Dae Houlihan grad student 2015- MIT
Sarah Schwettmann grad student 2015- MIT
Jon Gauthier grad student 2017- MIT (E-Tree)
Nicolas Davidenko grad student 2000-2002 Stanford
Thomas L. Griffiths grad student 2005 Stanford
Charles Kemp grad student 2007 MIT
Michael C. Frank grad student 2005-2010 MIT
Sam J. Gershman post-doc MIT
Frank Jäkel post-doc MIT
Vivian C. Paulun post-doc
Patrick Shafto post-doc University of Louisville (PsychTree)
Ilker Yildirim post-doc 2014- MIT
Konrad P. Kording post-doc 2004-2006 MIT
Noah D. Goodman post-doc 2005-2008 MIT
Peter W. Battaglia post-doc 2008-2011 MIT
Lucas Y Tian post-doc 2019-2020 MIT
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Pelz MC, Allen KR, Tenenbaum JB, et al. (2022) Foundations of intuitive power analyses in children and adults. Nature Human Behaviour
Pramod RT, Cohen MA, Tenenbaum JB, et al. (2022) Invariant representation of physical stability in the human brain. Elife. 11
Tessler MH, Tenenbaum JB, Goodman ND. (2022) Logic, Probability, and Pragmatics in Syllogistic Reasoning. Topics in Cognitive Science
Schrimpf M, Blank IA, Tuckute G, et al. (2021) The neural architecture of language: Integrative modeling converges on predictive processing. Proceedings of the National Academy of Sciences of the United States of America. 118
Siegel MH, Magid RW, Pelz M, et al. (2021) Children's exploratory play tracks the discriminability of hypotheses. Nature Communications. 12: 3598
Gerstenberg T, Goodman ND, Lagnado DA, et al. (2021) A counterfactual simulation model of causal judgments for physical events. Psychological Review
Wu SA, Wang RE, Evans JA, et al. (2021) Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. Topics in Cognitive Science
Krafft PM, Shmueli E, Griffiths TL, et al. (2021) Bayesian collective learning emerges from heuristic social learning. Cognition. 212: 104469
Rule JS, Tenenbaum JB, Piantadosi ST. (2020) The Child as Hacker. Trends in Cognitive Sciences
Levine S, Kleiman-Weiner M, Schulz L, et al. (2020) The logic of universalization guides moral judgment. Proceedings of the National Academy of Sciences of the United States of America
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