Joshua B. Tenenbaum - Google Scholar

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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 WuStanford UniversityVerifierad e-postadress på cs.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
Antonio TorralbaProfessor of Computer Science, MITVerifierad e-postadress på csail.mit.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
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
Ilker YildirimYale UniversityVerifierad e-postadress på yale.edu

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	13434	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	1376	2005
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1349	2015
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman science 331 (6022), 1279-1285, 2011	1278	2011
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	1159	2004
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1072	2007
Global versus local methods in nonlinear dimensionality reduction VD Silva, JB Tenenbaum Advances in neural information processing systems, 721-728, 2003	1024	2003
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	962	2017
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	875	2016
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	864	2006
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	844	2007
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	808	2000
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	767	2006
The isomap algorithm and topological stability M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ... Science 295 (5552), 7-7, 2002	747	2002
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629, 2001	741	2001
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	707	2007
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	702	2012
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems, 2539-2547, 2015	652	2015
Integrating topics and syntax TL Griffiths, M Steyvers, DM Blei, JB Tenenbaum Advances in neural information processing systems, 537-544, 2005	628	2005
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	618	2009

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