Thomas L. Griffiths

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	전체	2019년 이후
서지정보	71088	35973
h-index	115	86
i10-index	393	330

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Joshua B. TenenbaumMITmit.edu의 이메일 확인됨
Falk LiederUCLA, Asst. Prof. of Psychologypsych.ucla.edu의 이메일 확인됨
Mark SteyversUniversity of California, Irvineuci.edu의 이메일 확인됨
Joshua C. PetersonBoston Universitybu.edu의 이메일 확인됨
Alison GOPNIKProfessor of Psychology, Berkeleyberkeley.edu의 이메일 확인됨
Noah D. GoodmanStanford Universitystanford.edu의 이메일 확인됨
Charles KempMelbourne School of Psychological Sciencesunimelb.edu.au의 이메일 확인됨
Frederick CallawayPostdoc in Psychology, NYU & Harvardnyu.edu의 이메일 확인됨
Christopher G. LucasUniversity of Edinburghed.ac.uk의 이메일 확인됨
Adam SanbornProfessor, Department of Psychology, University of Warwickwarwick.ac.uk의 이메일 확인됨
Mark HoAssistant Professor, New York Universitynyu.edu의 이메일 확인됨
Joseph AusterweilAssociate Professor at University of Wisconsin-Madisonwisc.edu의 이메일 확인됨
Mike KalishSyracuse Universitysyr.edu의 이메일 확인됨
Jordan William SuchowStevens Institute of Technologystevens.edu의 이메일 확인됨
Jonathan D. CohenProfessor of Neuroscienceprinceton.edu의 이메일 확인됨
Anna RaffertyAssistant Professor, Carleton Collegecarleton.edu의 이메일 확인됨
Erin GrantSenior Research Fellow, University College Londonucl.ac.uk의 이메일 확인됨
Sharon GoldwaterSchool of Informatics, University of Edinburghinf.ed.ac.uk의 이메일 확인됨
Joshua T. AbbottAdobeadobe.com의 이메일 확인됨
Theodore SumersAnthropicanthropic.com의 이메일 확인됨

팔로우

Thomas L. Griffiths

Professor of Psychology and Computer Science, Princeton University

princeton.edu의 이메일 확인됨 - 홈페이지

Computational Models of Cognition Cognitive Science Machine Learning Cognitive Psychology Bayesian Statistics


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Finding Scientific Topics TL Griffiths PNAS, 2004	8784	2004
Probabilistic topic models M Steyvers, T Griffiths Handbook of latent semantic analysis, 439-460, 2007	2601	2007
The author-topic model for authors and documents M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth arXiv preprint arXiv:1207.4169, 2012	2199	2012
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman science 331 (6022), 1279-1285, 2011	2187	2011
Natural speech reveals the semantic maps that tile human cerebral cortex AG Huth, WA De Heer, TL Griffiths, FE Theunissen, JL Gallant Nature 532 (7600), 453-458, 2016	1765	2016
Tree of thoughts: Deliberate problem solving with large language models S Yao, D Yu, J Zhao, I Shafran, T Griffiths, Y Cao, K Narasimhan Advances in Neural Information Processing Systems 36, 2024	1687	2024
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	1574	2003
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1469	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	1172	2006
Toward a rational and mechanistic account of mental effort A Shenhav, S Musslick, F Lieder, W Kool, TL Griffiths, JD Cohen, ... Annual review of neuroscience 40 (1), 99-124, 2017	1084	2017
Generalization, similarity, and Bayesian inference JB Tenenbaum, TL Griffiths Behavioral and brain sciences 24 (4), 629-640, 2001	999	2001
Infinite latent feature models and the Indian buffet process Z Ghahramani, T Griffiths Advances in neural information processing systems 18, 2005	965	2005
Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006	958	2006
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies DM Blei, TL Griffiths, MI Jordan Journal of the ACM (JACM) 57 (2), 1-30, 2010	924	2010
Probabilistic models of cognition: Exploring representations and inductive biases TL Griffiths, N Chater, C Kemp, A Perfors, JB Tenenbaum Trends in cognitive sciences 14 (8), 357-364, 2010	889	2010
Probabilistic author-topic models for information discovery M Steyvers, P Smyth, M Rosen-Zvi, T Griffiths Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	883	2004
Structure and strength in causal induction TL Griffiths, JB Tenenbaum Cognitive psychology 51 (4), 334-384, 2005	788	2005
Optimal predictions in everyday cognition TL Griffiths, JB Tenenbaum Psychological science 17 (9), 767-773, 2006	787	2006
Bayesian models of cognition T L Griffiths, C Kemp, J B Tenenbaum Carnegie Mellon University, 2008	781	2008
Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources F Lieder, TL Griffiths Behavioral and brain sciences 43, e1, 2020	770	2020

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