cached image

Joshua Tenenbaum

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


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


Sign in to add trainee
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
Tomer Ullman grad student 2008-2015 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
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Mahowald K, Ivanova AA, Blank IA, et al. (2024) Dissociating language and thought in large language models. Trends in Cognitive Sciences
Peters B, DiCarlo JJ, Gureckis T, et al. (2024) How does the primate brain combine generative and discriminative computations in vision? Arxiv
Yildirim I, Siegel MH, Soltani AA, et al. (2023) Perception of 3D shape integrates intuitive physics and analysis-by-synthesis. Nature Human Behaviour
De Freitas J, Uğuralp AK, Oğuz-Uğuralp Z, et al. (2023) Self-orienting in human and machine learning. Nature Human Behaviour
Hawkins RD, Berdahl AM, Pentland A', et al. (2023) Flexible social inference facilitates targeted social learning when rewards are not observable. Nature Human Behaviour
Houlihan SD, Kleiman-Weiner M, Hewitt LB, et al. (2023) Emotion prediction as computation over a generative theory of mind. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 381: 20220047
Burnell R, Schellaert W, Burden J, et al. (2023) Rethink reporting of evaluation results in AI. Science (New York, N.Y.). 380: 136-138
Liu S, Pepe B, Ganesh Kumar M, et al. (2022) Dangerous Ground: One-Year-Old Infants are Sensitive to Peril in Other Agents' Action Plans. Open Mind : Discoveries in Cognitive Science. 6: 211-231
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
See more...