Joshua B. Tenenbaum

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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
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.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
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
Max Kleiman-WeinerHarvard & MITVerified email at mit.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerified email at mit.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Ilker YildirimYale UniversityVerified email at yale.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	14660	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1938	2015
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	1528	2011
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	1521	2017
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	1511	2005
Hierarchical topic models and the nested Chinese restaurant process. DM Blei, TL Griffiths, MI Jordan, JB Tenenbaum NIPS 16, 2003	1266	2003
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1188	2007
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	1178	2016
Global versus local methods in nonlinear dimensionality reduction V De Silva, JB Tenenbaum Advances in neural information processing systems, 721-728, 2003	1115	2003
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	938	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	926	2006
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	914	2000
Deep convolutional inverse graphics network TD Kulkarni, W Whitney, P Kohli, JB Tenenbaum arXiv preprint arXiv:1503.03167, 2015	838	2015
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	838	2006
The isomap algorithm and topological stability M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ... Science 295 (5552), 7-7, 2002	827	2002
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	825	2012
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	819	2007
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629, 2001	804	2001
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	747	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	724	2016

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