Joshua B. Tenenbaum - Google Scholar Citations

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Medförfattare

Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerifierad e-postadress på princeton.edu
Noah D. GoodmanStanford UniversityVerifierad e-postadress på stanford.edu
Charles KempMelbourne School of Psychological SciencesVerifierad e-postadress på unimelb.edu.au
Jiajun WuGoogle, Stanford UniversityVerifierad e-postadress på stanford.edu
William T. FreemanProfessor of Computer Science, MITVerifierad e-postadress på mit.edu
Tomer UllmanAssistant Professor, HarvardVerifierad e-postadress på fas.harvard.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerifierad e-postadress på mit.edu
Samuel GershmanAssociate Professor, Harvard UniversityVerifierad e-postadress på fas.harvard.edu
Amy PerforsUniversity of MelbourneVerifierad e-postadress på unimelb.edu.au
Mark SteyversUniversity of California, IrvineVerifierad e-postadress på uci.edu
Chris BakerChief Scientist, isee AIVerifierad e-postadress på mit.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityVerifierad e-postadress på nyu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerifierad e-postadress på cs.cmu.edu
Antonio TorralbaProfessor of Computer Science, MITVerifierad e-postadress på csail.mit.edu
Michael C. FrankDavid and Lucile Packard Foundation Professor of Human Biology, Stanford UniversityVerifierad e-postadress på stanford.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Tobias GerstenbergStanford UniversityVerifierad e-postadress på stanford.edu
Edward VulAssociate Professor of Psychology, UCSDVerifierad e-postadress på ucsd.edu
Rebecca SaxeAssociate Professor, Brain and Cognitive Sciences, MITVerifierad e-postadress på mit.edu
John LangfordMicrosoft Research New YorkVerifierad e-postadress på hunch.net

Joshua B. Tenenbaum

MIT

Verifierad e-postadress på mit.edu - Startsida

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V De Silva, JC Langford science 290 (5500), 2319-2323, 2000	13123	2000
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	1346	2005
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman science 331 (6022), 1279-1285, 2011	1236	2011
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1199	2015
Hierarchical topic models and the nested chinese restaurant process TL Griffiths, MI Jordan, JB Tenenbaum, DM Blei Advances in neural information processing systems, 17-24, 2004	1115	2004
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1030	2007
Global versus local methods in nonlinear dimensionality reduction VD Silva, JB Tenenbaum Advances in neural information processing systems, 721-728, 2003	1012	2003
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	847	2006
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	839	2017
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	816	2007
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	787	2000
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, 82-90, 2016	785	2016
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	741	2006
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629-640, 2001	728	2001
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	687	2012
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	674	2007
Integrating topics and syntax TL Griffiths, M Steyvers, DM Blei, JB Tenenbaum Advances in neural information processing systems, 537-544, 2005	612	2005
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems, 2539-2547, 2015	603	2015
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	594	2009
Structure and strength in causal induction TL Griffiths, JB Tenenbaum Cognitive psychology 51 (4), 334-384, 2005	594	2005

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