Joshua B. Tenenbaum

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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
Jiajun WuStanford UniversityVerifierad e-postadress på cs.stanford.edu
Charles KempMelbourne School of Psychological SciencesVerifierad e-postadress på unimelb.edu.au
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
Antonio TorralbaProfessor of Computer Science, MITVerifierad e-postadress på csail.mit.edu
Chris BakerChief Scientist, isee AIVerifierad e-postadress på mit.edu
Samuel GershmanAssociate Professor, Harvard UniversityVerifierad e-postadress på fas.harvard.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityVerifierad e-postadress på nyu.edu
Andrew PerforsUniversity of MelbourneVerifierad e-postadress på unimelb.edu.au
Mark SteyversUniversity of California, IrvineVerifierad e-postadress på uci.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerifierad e-postadress på cs.cmu.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Michael C. FrankDavid and Lucile Packard Foundation Professor of Human Biology, Stanford UniversityVerifierad e-postadress på stanford.edu
Tobias GerstenbergStanford UniversityVerifierad e-postadress på stanford.edu
Rebecca SaxeAssociate Professor, Brain and Cognitive Sciences, MITVerifierad e-postadress på mit.edu
Ilker YildirimYale UniversityVerifierad e-postadress på yale.edu
Edward VulAssociate Professor of Psychology, UCSDVerifierad e-postadress på ucsd.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	14025	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1699	2015
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	1450	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	1447	2005
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	1283	2017
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	1223	2004
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1142	2007
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, 82-90, 2016	1070	2016
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 721-728, 2002	1068	2002
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	904	2006
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	893	2007
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	864	2000
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	816	2006
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	795	2012
The isomap algorithm and topological stability M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ... Science 295 (5552), 7-7, 2002	789	2002
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629, 2001	773	2001
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2539-2547, 2015	761	2015
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	758	2007
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	681	2009
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	659	2016

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