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
Andrew PerforsUniversity of MelbourneVerified email at unimelb.edu.au
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Ilker YildirimYale UniversityVerified email at yale.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Max Kleiman-WeinerHarvard & MITVerified email at mit.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
Kevin A SmithDepartment of Brain and Cognitive Sciences, 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	14989	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	2129	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	1703	2017
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	1592	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	1559	2005
Hierarchical topic models and the nested Chinese restaurant process. DM Blei, TL Griffiths, MI Jordan, JB Tenenbaum NIPS 16, 2003	1312	2003
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling J Wu, C Zhang, T Xue, WT Freeman, JB Tenenbaum Proceedings of the 30th International Conference on Neural Information …, 2016	1302	2016
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1215	2007
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1138	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	969	2006
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	957	2000
Deep convolutional inverse graphics network TD Kulkarni, W Whitney, P Kohli, JB Tenenbaum arXiv preprint arXiv:1503.03167, 2015	888	2015
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	867	2006
The isomap algorithm and topological stability M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ... Science 295 (5552), 7-7, 2002	865	2002
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	851	2012
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	846	2007
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629-640, 2001	831	2001
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, 3675-3683, 2016	807	2016
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	790	2009
Global versus local methods in nonlinear dimensionality reduction. V De Silva, JB Tenenbaum NIPS 15, 705-712, 2002	733	2002

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