Thomas L. Griffiths

Affiliations: 
University of California, Berkeley, Berkeley, CA 
Area:
computation
Website:
http://cocosci.berkeley.edu/tom/
Google:
"Thomas Griffiths"
Mean distance: 14.04 (cluster 23)
 
SNBCP

Parents

Sign in to add mentor
Joshua Tenenbaum grad student 2005 Stanford
 (Causes, coincidences, and theories.)

Children

Sign in to add trainee
Jay B. Martin research assistant 2007-2010 UC Berkeley
Christopher Ramsay Holdgraf research assistant 2010-2011 UC Berkeley
Tiffany Jean Hwu research assistant 2012-2014 UC Berkeley
Paul M. Krueger grad student
Joshua Abbott grad student 2010- UC Berkeley
Michael Pacer grad student 2010- UC Berkeley
Jessica B. Hamrick grad student 2012- UC Berkeley
Rachit Dubey grad student 2016-
Sreejan Kumar grad student 2019-
Adam N. Sanborn grad student 2005-2006 Brown
Lei Shi grad student 2009 UC Berkeley
Christopher G. Lucas grad student 2006-2010 UC Berkeley
Kevin Robert Canini grad student 2011 UC Berkeley
Joseph L. Austerweil grad student 2007-2012 UC Berkeley
Joseph Jay Williams grad student 2007-2012 UC Berkeley
Anna Noonan Rafferty grad student 2014 UC Berkeley
Falk Lieder grad student 2013-2018 UC Berkeley (PsychTree)
Bill Thompson post-doc
Qiong Zhang post-doc
Robert D. Hawkins post-doc 2019- Princeton
BETA: Related publications

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.

Milli S, Lieder F, Griffiths TL. (2021) A rational reinterpretation of dual-process theories. Cognition. 217: 104881
Gates V, Callaway F, Ho MK, et al. (2021) A rational model of people's inferences about others' preferences based on response times. Cognition. 217: 104885
Hofman JM, Watts DJ, Athey S, et al. (2021) Integrating explanation and prediction in computational social science. Nature
Meylan SC, Griffiths TL. (2021) The Challenges of Large-Scale, Web-Based Language Datasets: Word Length and Predictability Revisited. Cognitive Science. 45: e12983
Peterson JC, Bourgin DD, Agrawal M, et al. (2021) Using large-scale experiments and machine learning to discover theories of human decision-making. Science (New York, N.Y.). 372: 1209-1214
Lewry C, Curtis K, Vasilyeva N, et al. (2021) Intuitions about magic track the development of intuitive physics. Cognition. 214: 104762
Langlois TA, Jacoby N, Suchow JW, et al. (2021) Serial reproduction reveals the geometry of visuospatial representations. Proceedings of the National Academy of Sciences of the United States of America. 118
Krafft PM, Shmueli E, Griffiths TL, et al. (2021) Bayesian collective learning emerges from heuristic social learning. Cognition. 212: 104469
Callaway F, Rangel A, Griffiths TL. (2021) Fixation patterns in simple choice reflect optimal information sampling. Plos Computational Biology. 17: e1008863
Battleday RM, Peterson JC, Griffiths TL. (2021) From convolutional neural networks to models of higher-level cognition (and back again). Annals of the New York Academy of Sciences
See more...