Noah D. Goodman
Noah D. Goodman
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Cited by
Cited by
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
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
science 331 (6022), 1279-1285, 2011
Pyro: Deep universal probabilistic programming
E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ...
Journal of Machine Learning Research, 2019
Predicting pragmatic reasoning in language games
MC Frank, ND Goodman
Science 336 (6084), 998-998, 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
Church: a language for generative models
N Goodman, V Mansinghka, D Roy, K Bonawitz, J Tenenbaum
Uncertainty in Artificial Intelligence, 2008
Pragmatic language interpretation as probabilistic inference
ND Goodman, MC Frank
Trends in cognitive sciences 20 (11), 818-829, 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
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
Knowledge and implicature: Modeling language understanding as social cognition
ND Goodman, A Stuhlmüller
Topics in cognitive science 5 (1), 173-184, 2013
A Rational Analysis of Rule‐Based Concept Learning
ND Goodman, JB Tenenbaum, J Feldman, TL Griffiths
Cognitive Science 32 (1), 108-154, 2008
Using speakers' referential intentions to model early cross-situational word learning
MC Frank, ND Goodman, JB Tenenbaum
Psychological science 20 (5), 578-585, 2009
Where science starts: Spontaneous experiments in preschoolers’ exploratory play
C Cook, ND Goodman, LE Schulz
Cognition 120 (3), 341-349, 2011
Multimodal generative models for scalable weakly-supervised learning
M Wu, N Goodman
Advances in neural information processing systems 31, 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
A rational account of pedagogical reasoning: Teaching by, and learning from, examples
P Shafto, ND Goodman, TL Griffiths
Cognitive psychology 71, 55-89, 2014
Amortized inference in probabilistic reasoning
S Gershman, N Goodman
Proceedings of the annual meeting of the cognitive science society 36 (36), 2014
The design and implementation of probabilistic programming languages
ND Goodman, A Stuhlmüller
Star: Bootstrapping reasoning with reasoning
E Zelikman, Y Wu, J Mu, N Goodman
Advances in Neural Information Processing Systems 35, 15476-15488, 2022
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
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