Thomas L. Griffiths
Thomas L. Griffiths
Professor of Psychology and Computer Science, Princeton University
Verified email at - Homepage
Cited by
Cited by
Finding scientific topics
TL Griffiths, M Steyvers
Proceedings of the National academy of Sciences 101 (suppl 1), 5228-5235, 2004
Probabilistic topic models
M Steyvers, T Griffiths
Handbook of latent semantic analysis 427 (7), 424-440, 2007
The author-topic model for authors and documents
M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth
arXiv preprint arXiv:1207.4169, 2012
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
science 331 (6022), 1279-1285, 2011
Hierarchical topic models and the nested chinese restaurant process
TL Griffiths, MI Jordan, JB Tenenbaum, DM Blei
Advances in neural information processing systems, 17-24, 2004
Topics in semantic representation.
TL Griffiths, M Steyvers, JB Tenenbaum
Psychological review 114 (2), 211, 2007
Infinite latent feature models and the Indian buffet process
Z Ghahramani, TL Griffiths
Advances in neural information processing systems, 475-482, 2006
Theory-based Bayesian models of inductive learning and reasoning
JB Tenenbaum, TL Griffiths, C Kemp
Trends in cognitive sciences 10 (7), 309-318, 2006
Learning systems of concepts with an infinite relational model
C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda
AAAI 3, 5, 2006
Probabilistic author-topic models for information discovery
M Steyvers, P Smyth, M Rosen-Zvi, T Griffiths
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
Generalization, similarity, and Bayesian inference
JB Tenenbaum, TL Griffiths
Behavioral and brain sciences 24 (4), 629, 2001
Natural speech reveals the semantic maps that tile human cerebral cortex
AG Huth, WA De Heer, TL Griffiths, FE Theunissen, JL Gallant
Nature 532 (7600), 453-458, 2016
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
DM Blei, TL Griffiths, MI Jordan
Journal of the ACM (JACM) 57 (2), 1-30, 2010
Integrating topics and syntax
TL Griffiths, M Steyvers, DM Blei, JB Tenenbaum
Advances in neural information processing systems, 537-544, 2005
Structure and strength in causal induction
TL Griffiths, JB Tenenbaum
Cognitive psychology 51 (4), 334-384, 2005
Bayesian models of cognition
T L Griffiths, C Kemp, J B Tenenbaum
Carnegie Mellon University, 2008
Probabilistic models of cognition: Exploring representations and inductive biases
TL Griffiths, N Chater, C Kemp, A Perfors, JB Tenenbaum
Trends in cognitive sciences 14 (8), 357-364, 2010
Optimal predictions in everyday cognition
TL Griffiths, JB Tenenbaum
Psychological science 17 (9), 767-773, 2006
A Bayesian framework for word segmentation: Exploring the effects of context
S Goldwater, TL Griffiths, M Johnson
Cognition 112 (1), 21-54, 2009
Nonparametric latent feature models for link prediction
K Miller, MI Jordan, TL Griffiths
Advances in neural information processing systems, 1276-1284, 2009
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