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
129242000
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
13262005
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
science 331 (6022), 1279-1285, 2011
12042011
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
11212015
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
10862004
Topics in semantic representation.
TL Griffiths, M Steyvers, JB Tenenbaum
Psychological review 114 (2), 211, 2007
10072007
Global versus local methods in nonlinear dimensionality reduction
VD Silva, JB Tenenbaum
Advances in neural information processing systems, 721-728, 2003
10032003
Theory-based Bayesian models of inductive learning and reasoning
JB Tenenbaum, TL Griffiths, C Kemp
Trends in cognitive sciences 10 (7), 309-318, 2006
8332006
Word learning as Bayesian inference.
F Xu, JB Tenenbaum
Psychological review 114 (2), 245, 2007
8002007
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and brain sciences 40, 2017
7832017
Separating style and content with bilinear models
JB Tenenbaum, WT Freeman
Neural Computation 12 (6), 1247-1283, 2000
7732000
Learning systems of concepts with an infinite relational model
C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda
AAAI 3, 5, 2006
7292006
Generalization, similarity, and Bayesian inference
JB Tenenbaum, TL Griffiths
Behavioral and brain sciences 24 (4), 629-640, 2001
7192001
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
7072016
Church: a language for generative models
N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum
arXiv preprint arXiv:1206.3255, 2012
6742012
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
6042005
Structure and strength in causal induction
TL Griffiths, JB Tenenbaum
Cognitive psychology 51 (4), 334-384, 2005
5852005
Deep convolutional inverse graphics network
TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum
Advances in neural information processing systems, 2539-2547, 2015
5772015
Action understanding as inverse planning
CL Baker, R Saxe, JB Tenenbaum
Cognition 113 (3), 329-349, 2009
5752009
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Articles 1–20