Joshua B. Tenenbaum

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityE-mailová adresa ověřena na: princeton.edu
Jiajun WuStanford UniversityE-mailová adresa ověřena na: cs.stanford.edu
Noah D. GoodmanStanford UniversityE-mailová adresa ověřena na: stanford.edu
Charles KempMelbourne School of Psychological SciencesE-mailová adresa ověřena na: unimelb.edu.au
William T. FreemanProfessor of Computer Science, MITE-mailová adresa ověřena na: mit.edu
Tomer UllmanAssistant Professor, HarvardE-mailová adresa ověřena na: fas.harvard.edu
Antonio TorralbaProfessor of Computer Science, MITE-mailová adresa ověřena na: csail.mit.edu
Samuel GershmanProfessor, Harvard UniversityE-mailová adresa ověřena na: fas.harvard.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectE-mailová adresa ověřena na: mit.edu
Chris BakerChief Scientist, ISEE AIE-mailová adresa ověřena na: mit.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityE-mailová adresa ověřena na: nyu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUE-mailová adresa ověřena na: cs.cmu.edu
Kevin A SmithDepartment of Brain and Cognitive Sciences, MITE-mailová adresa ověřena na: mit.edu
Max Kleiman-WeinerHarvard & MITE-mailová adresa ověřena na: mit.edu
Andrew PerforsUniversity of MelbourneE-mailová adresa ověřena na: unimelb.edu.au
Mark SteyversUniversity of California, IrvineE-mailová adresa ověřena na: uci.edu
Tobias GerstenbergStanford UniversityE-mailová adresa ověřena na: stanford.edu
Ilker YildirimYale UniversityE-mailová adresa ověřena na: yale.edu
Kelsey AllenResearch Scientist, DeepMindE-mailová adresa ověřena na: deepmind.com
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyE-mailová adresa ověřena na: mit.edu

Sledovat

Joshua B. Tenenbaum

MIT

E-mailová adresa ověřena na: mit.edu - Domovská stránka

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V Silva, JC Langford science 290 (5500), 2319-2323, 2000	15345	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	2412	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	1935	2017
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	1689	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	1630	2005
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, 2016	1486	2016
Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003	1355	2003
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1254	2007
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1171	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	1015	2006
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	960	2000
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, 2016	945	2016
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	928	2015
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	899	2007
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 2002	886	2002
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012	876	2012
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
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	851	2009
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629-640, 2001	848	2001
Meta-learning for semi-supervised few-shot classification M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ... arXiv preprint arXiv:1803.00676, 2018	798	2018

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