Joshua B. Tenenbaum

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	All	Since 2016
Citations	66534	35850
h-index	105	85
i10-index	353	302

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
Charles KempMelbourne School of Psychological SciencesVerified email at unimelb.edu.au
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
Tomer UllmanAssistant Professor, HarvardVerified email at fas.harvard.edu
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerified email at mit.edu
Chris BakerChief Scientist, isee AIVerified email at mit.edu
Samuel GershmanAssociate Professor, Harvard UniversityVerified email at fas.harvard.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityVerified email at nyu.edu
Andrew PerforsUniversity of MelbourneVerified email at unimelb.edu.au
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Michael C. FrankDavid and Lucile Packard Foundation Professor of Human Biology, Stanford UniversityVerified email at stanford.edu
Tobias GerstenbergStanford UniversityVerified email at stanford.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerified email at mit.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Rebecca SaxeAssociate Professor, Brain and Cognitive Sciences, MITVerified email at mit.edu
Max Kleiman-WeinerHarvard & MITVerified email at mit.edu

Joshua B. Tenenbaum

MIT

Verified email at mit.edu - Homepage

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Title Sort by citations Sort by year Sort by 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	14315	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1774	2015
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	1473	2011
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	1467	2005
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	1346	2017
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	1233	2004
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1164	2007
Global versus local methods in nonlinear dimensionality reduction V De Silva, JB Tenenbaum Advances in neural information processing systems, 721-728, 2003	1097	2003
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	1075	2016
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	903	2007
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	902	2006
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	884	2000
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	824	2006
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	805	2012
The isomap algorithm and topological stability M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ... Science 295 (5552), 7-7, 2002	805	2002
Deep convolutional inverse graphics network TD Kulkarni, W Whitney, P Kohli, JB Tenenbaum arXiv preprint arXiv:1503.03167, 2015	794	2015
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629, 2001	780	2001
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	775	2007
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	701	2009
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation TD Kulkarni, KR Narasimhan, A Saeedi, JB Tenenbaum arXiv preprint arXiv:1604.06057, 2016	678	2016

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