Noah D. Goodman

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Joshua B. TenenbaumMITPatvirtintas el. paštas mit.edu
Michael C. FrankBenjamin Scott Crocker Professor of Human Biology, Stanford UniversityPatvirtintas el. paštas stanford.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityPatvirtintas el. paštas princeton.edu
Andreas StuhlmüllerElicitPatvirtintas el. paštas elicit.com
Charles KempMelbourne School of Psychological SciencesPatvirtintas el. paštas unimelb.edu.au
Tobias GerstenbergStanford UniversityPatvirtintas el. paštas stanford.edu
Tomer UllmanAssistant Professor, HarvardPatvirtintas el. paštas fas.harvard.edu
Falk LiederUCLA, Asst. Prof. of PsychologyPatvirtintas el. paštas psych.ucla.edu
Steven T. PiantadosiUniversity of California, BerkeleyPatvirtintas el. paštas berkeley.edu
Judith DegenAssociate professor, Stanford University (Linguistics)Patvirtintas el. paštas stanford.edu
Justine T. KaoCognitive Psychology, Stanford UniversityPatvirtintas el. paštas stanford.edu
Chris BakerChief Scientist, ISEE AIPatvirtintas el. paštas mit.edu
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)Patvirtintas el. paštas utoronto.ca
Daniel LassiterUniversity of EdinburghPatvirtintas el. paštas ed.ac.uk
David LagnadoUniversity College LondonPatvirtintas el. paštas ucl.ac.uk
Patrick HanrahanStanford UniversityPatvirtintas el. paštas cs.stanford.edu
Elizabeth BonawitzAssociate Faculty, Harvard University Graduate School of EducationPatvirtintas el. paštas gse.harvard.edu
Daniel RitchieBrown UniversityPatvirtintas el. paštas brown.edu
Timothy John O'DonnellMcGill University, MilaPatvirtintas el. paštas mcgill.ca
David WingateAssociate professor of Computer Science, Brigham Young UniversityPatvirtintas el. paštas cs.byu.edu

Stebėti

Noah D. Goodman

Stanford University

Patvirtintas el. paštas stanford.edu - Pagrindinis puslapis


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	4319	2021
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman science 331 (6022), 1279-1285, 2011	2192	2011
Pyro: Deep universal probabilistic programming E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ... Journal of Machine Learning Research, 2019	1414	2019
Predicting pragmatic reasoning in language games MC Frank, ND Goodman Science 336 (6084), 998-998, 2012	1198	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	1027	2011
Church: a language for generative models N Goodman, V Mansinghka, D Roy, K Bonawitz, J Tenenbaum Uncertainty in Artificial Intelligence, 2008	996*	2008
Pragmatic language interpretation as probabilistic inference ND Goodman, MC Frank Trends in cognitive sciences 20 (11), 818-829, 2016	775	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	655	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	591	2015
A Rational Analysis of Rule‐Based Concept Learning ND Goodman, JB Tenenbaum, J Feldman, TL Griffiths Cognitive Science 32 (1), 108-154, 2008	550	2008
Knowledge and implicature: Modeling language understanding as social cognition ND Goodman, A Stuhlmüller Topics in cognitive science 5 (1), 173-184, 2013	544	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	471	2009
Star: Bootstrapping reasoning with reasoning E Zelikman, Y Wu, J Mu, N Goodman Advances in Neural Information Processing Systems 35, 15476-15488, 2022	462	2022
Where science starts: Spontaneous experiments in preschoolers’ exploratory play C Cook, ND Goodman, LE Schulz Cognition 120 (3), 341-349, 2011	452	2011
Multimodal generative models for scalable weakly-supervised learning M Wu, N Goodman Advances in neural information processing systems 31, 2018	444	2018
Amortized inference in probabilistic reasoning S Gershman, N Goodman Proceedings of the annual meeting of the cognitive science society 36 (36), 2014	415	2014
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	414	2017
A rational account of pedagogical reasoning: Teaching by, and learning from, examples P Shafto, ND Goodman, TL Griffiths Cognitive psychology 71, 55-89, 2014	401	2014
The design and implementation of probabilistic programming languages ND Goodman, A Stuhlmüller	360	2014
The anchoring bias reflects rational use of cognitive resources F Lieder, TL Griffiths, QJ M. Huys, ND Goodman Psychonomic bulletin & review 25, 322-349, 2018	329	2018

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