Joshua B. Tenenbaum
TitleCited byYear
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum, V De Silva, JC Langford
science 290 (5500), 2319-2323, 2000
129212000
The large‐scale structure of semantic networks: Statistical analyses and a model of semantic growth
M Steyvers, JB Tenenbaum
Cognitive science 29 (1), 41-78, 2005
13282005
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
science 331 (6022), 1279-1285, 2011
11932011
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
11142015
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
10932004
Topics in semantic representation.
TL Griffiths, M Steyvers, JB Tenenbaum
Psychological review 114 (2), 211, 2007
10132007
Global versus local methods in nonlinear dimensionality reduction
VD Silva, JB Tenenbaum
Advances in neural information processing systems, 721-728, 2003
9982003
Theory-based Bayesian models of inductive learning and reasoning
JB Tenenbaum, TL Griffiths, C Kemp
Trends in cognitive sciences 10 (7), 309-318, 2006
8312006
Word learning as Bayesian inference.
F Xu, JB Tenenbaum
Psychological review 114 (2), 245, 2007
7962007
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and brain sciences 40, 2017
7782017
Separating style and content with bilinear models
JB Tenenbaum, WT Freeman
Neural Computation 12 (6), 1247-1283, 2000
7752000
Learning systems of concepts with an infinite relational model
C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda
AAAI 3, 5, 2006
7282006
Generalization, similarity, and Bayesian inference
JB Tenenbaum, TL Griffiths
Behavioral and brain sciences 24 (4), 629-640, 2001
7132001
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J Wu, C Zhang, T Xue, B Freeman, J Tenenbaum
Advances in neural information processing systems, 82-90, 2016
6962016
Church: a language for generative models
N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum
arXiv preprint arXiv:1206.3255, 2012
6722012
Causal inference in multisensory perception
KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams
PLoS one 2 (9), e943, 2007
6542007
Integrating topics and syntax
TL Griffiths, M Steyvers, DM Blei, JB Tenenbaum
Advances in neural information processing systems, 537-544, 2005
6022005
Structure and strength in causal induction
TL Griffiths, JB Tenenbaum
Cognitive psychology 51 (4), 334-384, 2005
5862005
Action understanding as inverse planning
CL Baker, R Saxe, JB Tenenbaum
Cognition 113 (3), 329-349, 2009
5712009
Deep convolutional inverse graphics network
TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum
Advances in neural information processing systems, 2539-2547, 2015
5662015
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Articles 1–20