Joshua B. Tenenbaum

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
Noah D. GoodmanStanford UniversityVerified email at 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
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerified email at mit.edu
Chris BakerChief Scientist, ISEE AIVerified email at mit.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityVerified email at nyu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Kevin A SmithDepartment of Brain and Cognitive Sciences, MITVerified email at mit.edu
Max Kleiman-WeinerHarvard & MITVerified email at mit.edu
Andrew PerforsUniversity of MelbourneVerified email at unimelb.edu.au
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Tobias GerstenbergStanford UniversityVerified email at stanford.edu
Ilker YildirimYale UniversityVerified email at yale.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerified email at mit.edu
Kelsey AllenResearch Scientist, DeepMindVerified email at deepmind.com

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 Silva, JC Langford science 290 (5500), 2319-2323, 2000	15342	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	2408	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	1932	2017
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	1686	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	1630	2005
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 29, 2016	1488	2016
Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003	1354	2003
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1253	2007
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1171	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	1013	2006
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	959	2000
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum Advances in neural information processing systems 29, 2016	945	2016
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	927	2015
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	898	2007
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 2002	886	2002
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	876	2012
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	868	2006
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	848	2009
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629-640, 2001	848	2001
Meta-learning for semi-supervised few-shot classification M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ... arXiv preprint arXiv:1803.00676, 2018	795	2018

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