Joshua B. Tenenbaum
Title
Cited by
Cited by
Year
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum, V De Silva, JC Langford
science 290 (5500), 2319-2323, 2000
142312000
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
17182015
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
Science 331 (6022), 1279-1285, 2011
14612011
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
14572005
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and brain sciences 40, 2017
13132017
Hierarchical topic models and the nested Chinese restaurant process
DM Blei, TL Griffiths, MI Jordan, JB Tenenbaum
Advances in neural information processing systems 16 (16), 17-24, 2004
12252004
Topics in semantic representation.
TL Griffiths, M Steyvers, JB Tenenbaum
Psychological review 114 (2), 211, 2007
11532007
Global versus local methods in nonlinear dimensionality reduction
V De Silva, JB Tenenbaum
Advances in neural information processing systems, 721-728, 2003
10902003
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J Wu, C Zhang, T Xue, WT Freeman, JB Tenenbaum
arXiv preprint arXiv:1610.07584, 2016
10792016
Word learning as Bayesian inference.
F Xu, JB Tenenbaum
Psychological review 114 (2), 245, 2007
8962007
Theory-based Bayesian models of inductive learning and reasoning
JB Tenenbaum, TL Griffiths, C Kemp
Trends in cognitive sciences 10 (7), 309-318, 2006
8932006
Separating style and content with bilinear models
JB Tenenbaum, WT Freeman
Neural Computation 12 (6), 1247-1283, 2000
8732000
Learning systems of concepts with an infinite relational model
C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda
AAAI 3, 5, 2006
8232006
Church: a language for generative models
N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum
arXiv preprint arXiv:1206.3255, 2012
7972012
The isomap algorithm and topological stability
M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ...
Science 295 (5552), 7-7, 2002
7962002
Deep convolutional inverse graphics network
TD Kulkarni, W Whitney, P Kohli, JB Tenenbaum
arXiv preprint arXiv:1503.03167, 2015
7822015
Generalization, similarity, and Bayesian inference
JB Tenenbaum, TL Griffiths
Behavioral and brain sciences 24 (4), 629, 2001
7772001
Causal inference in multisensory perception
KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams
PLoS one 2 (9), e943, 2007
7632007
Action understanding as inverse planning
CL Baker, R Saxe, JB Tenenbaum
Cognition 113 (3), 329-349, 2009
6932009
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
TD Kulkarni, KR Narasimhan, A Saeedi, JB Tenenbaum
arXiv preprint arXiv:1604.06057, 2016
6642016
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Articles 1–20