Charles Kemp
Charles Kemp
Melbourne School of Psychological Sciences
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How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
science 331 (6022), 1279-1285, 2011
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 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
Bayesian models of cognition
T L Griffiths, C Kemp, J B Tenenbaum
Carnegie Mellon University, 2008
The discovery of structural form
C Kemp, JB Tenenbaum
Proceedings of the National Academy of Sciences 105 (31), 10687-10692, 2008
Learning overhypotheses with hierarchical Bayesian models
C Kemp, A Perfors, JB Tenenbaum
Developmental science 10 (3), 307-321, 2007
Structured statistical models of inductive reasoning.
C Kemp, JB Tenenbaum
Psychological review 116 (1), 20, 2009
Kinship categories across languages reflect general communicative principles
C Kemp, T Regier
Science 336 (6084), 1049-1054, 2012
11 Word Meanings across Languages Support Efficient Communication
T Regier, C Kemp, P Kay
The handbook of language emergence 87, 237, 2015
Belief polarization is not always irrational.
A Jern, KMK Chang, C Kemp
Psychological review 121 (2), 206, 2014
A probabilistic model of theory formation
C Kemp, JB Tenenbaum, S Niyogi, TL Griffiths
Cognition 114 (2), 165-196, 2010
Efficient compression in color naming and its evolution
N Zaslavsky, C Kemp, T Regier, N Tishby
Proceedings of the National Academy of Sciences 115 (31), 7937-7942, 2018
Learning to learn causal models
C Kemp, ND Goodman, JB Tenenbaum
Cognitive Science 34 (7), 1185-1243, 2010
Discovering latent classes in relational data
C Kemp, TL Griffiths, JB Tenenbaum
Structured priors for structure learning
V Mansinghka, C Kemp, T Griffiths, J Tenenbaum
arXiv preprint arXiv:1206.6852, 2012
Semi-supervised learning with trees
C Kemp, TL Griffiths, S Stromsten, JB Tenenbaum
Advances in neural information processing systems 16, 257-264, 2004
Inductive reasoning about causally transmitted properties
P Shafto, C Kemp, EB Bonawitz, JD Coley, JB Tenenbaum
Cognition 109 (2), 175-192, 2008
Learning annotated hierarchies from relational data
DM Roy, C Kemp, V Mansinghka, J B Tenenbaum
Carnegie Mellon University, 2007
Languages support efficient communication about the environment: Words for snow revisited
T Regier, A Carstensen, C Kemp
PloS one 11 (4), e0151138, 2016
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