Noah D. Goodman

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Joshua B. TenenbaumMITVerifierad e-postadress på mit.edu
Michael C. FrankBenjamin Scott Crocker Professor of Human Biology, Stanford UniversityVerifierad e-postadress på stanford.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerifierad e-postadress på princeton.edu
Andreas StuhlmüllerElicitVerifierad e-postadress på elicit.com
Tobias GerstenbergStanford UniversityVerifierad e-postadress på stanford.edu
Charles KempMelbourne School of Psychological SciencesVerifierad e-postadress på unimelb.edu.au
Tomer UllmanAssistant Professor, HarvardVerifierad e-postadress på fas.harvard.edu
Falk LiederUCLA, Asst. Prof. of PsychologyVerifierad e-postadress på psych.ucla.edu
Steven T. PiantadosiUniversity of California, BerkeleyVerifierad e-postadress på berkeley.edu
Justine T. KaoCognitive Psychology, Stanford UniversityVerifierad e-postadress på stanford.edu
Judith DegenAssociate professor, Stanford University (Linguistics)Verifierad e-postadress på stanford.edu
Chris BakerChief Scientist, ISEE AIVerifierad e-postadress på mit.edu
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)Verifierad e-postadress på utoronto.ca
Daniel LassiterUniversity of EdinburghVerifierad e-postadress på ed.ac.uk
David LagnadoUniversity College LondonVerifierad e-postadress på ucl.ac.uk
Patrick HanrahanStanford UniversityVerifierad e-postadress på cs.stanford.edu
Elizabeth BonawitzAssociate Faculty, Harvard University Graduate School of EducationVerifierad e-postadress på gse.harvard.edu
Daniel RitchieBrown UniversityVerifierad e-postadress på brown.edu
Timothy John O'DonnellMcGill University, MilaVerifierad e-postadress på mcgill.ca
David WingateAssociate professor of Computer Science, Brigham Young UniversityVerifierad e-postadress på cs.byu.edu

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Noah D. Goodman

Stanford University

Verifierad e-postadress på stanford.edu - Startsida


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	3758	2021
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman science 331 (6022), 1279-1285, 2011	2154	2011
Pyro: Deep universal probabilistic programming E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ... Journal of Machine Learning Research, 2019	1332	2019
Predicting pragmatic reasoning in language games MC Frank, ND Goodman Science 336 (6084), 998-998, 2012	1174	2012
The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery E Bonawitz, P Shafto, H Gweon, ND Goodman, E Spelke, L Schulz Cognition 120 (3), 322-330, 2011	1006	2011
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, J Tenenbaum Uncertainty in Artificial Intelligence, 2008	985*	2008
Pragmatic language interpretation as probabilistic inference ND Goodman, MC Frank Trends in cognitive sciences 20 (11), 818-829, 2016	745	2016
One and done? Optimal decisions from very few samples E Vul, N Goodman, TL Griffiths, JB Tenenbaum Cognitive science 38 (4), 599-637, 2014	635	2014
Rational use of cognitive resources: Levels of analysis between the computational and the algorithmic TL Griffiths, F Lieder, ND Goodman Topics in cognitive science 7 (2), 217-229, 2015	581	2015
A Rational Analysis of Rule‐Based Concept Learning ND Goodman, JB Tenenbaum, J Feldman, TL Griffiths Cognitive Science 32 (1), 108-154, 2008	539	2008
Knowledge and implicature: Modeling language understanding as social cognition ND Goodman, A Stuhlmüller Topics in cognitive science 5 (1), 173-184, 2013	537	2013
Using speakers' referential intentions to model early cross-situational word learning MC Frank, ND Goodman, JB Tenenbaum Psychological science 20 (5), 578-585, 2009	467	2009
Where science starts: Spontaneous experiments in preschoolers’ exploratory play C Cook, ND Goodman, LE Schulz Cognition 120 (3), 341-349, 2011	446	2011
Multimodal generative models for scalable weakly-supervised learning M Wu, N Goodman Advances in neural information processing systems 31, 2018	427	2018
Learning disentangled representations with semi-supervised deep generative models B Paige, JW Van De Meent, A Desmaison, N Goodman, P Kohli, F Wood, ... Advances in neural information processing systems 30, 2017	405	2017
Amortized inference in probabilistic reasoning S Gershman, N Goodman Proceedings of the annual meeting of the cognitive science society 36 (36), 2014	398	2014
A rational account of pedagogical reasoning: Teaching by, and learning from, examples P Shafto, ND Goodman, TL Griffiths Cognitive psychology 71, 55-89, 2014	393	2014
Star: Bootstrapping reasoning with reasoning E Zelikman, Y Wu, J Mu, N Goodman Advances in Neural Information Processing Systems 35, 15476-15488, 2022	370	2022
The design and implementation of probabilistic programming languages ND Goodman, A Stuhlmüller	355	2014
A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor NIPS Workshop on probabilistic programming: Foundations and applications 1, 3, 2012	323	2012

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