Noah D. Goodman
Noah D. Goodman
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
How to grow a mind: Statistics, structure, and abstraction
JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman
science 331 (6022), 1279-1285, 2011
13222011
Church: a language for generative models
N Goodman, V Mansinghka, D Roy, K Bonawitz, J Tenenbaum
Uncertainty in Artificial Intelligence, 2008
723*2008
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
5962011
Predicting pragmatic reasoning in language games
MC Frank, ND Goodman
Science 336 (6084), 998-998, 2012
5932012
Using speakers' referential intentions to model early cross-situational word learning
MC Frank, ND Goodman, JB Tenenbaum
Psychological science 20 (5), 578-585, 2009
3712009
One and done? Optimal decisions from very few samples
E Vul, N Goodman, TL Griffiths, JB Tenenbaum
Cognitive science 38 (4), 599-637, 2014
3672014
One and done? Optimal decisions from very few samples
E Vul, N Goodman, TL Griffiths, JB Tenenbaum
Cognitive science 38 (4), 599-637, 2014
3672014
Knowledge and implicature: Modeling language understanding as social cognition
ND Goodman, A Stuhlmüller
Topics in cognitive science 5 (1), 173-184, 2013
3332013
A Rational Analysis of Rule‐Based Concept Learning
ND Goodman, JB Tenenbaum, J Feldman, TL Griffiths
Cognitive Science 32 (1), 108-154, 2008
3252008
Where science starts: Spontaneous experiments in preschoolers’ exploratory play
C Cook, ND Goodman, LE Schulz
Cognition 120 (3), 341-349, 2011
2372011
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
2362015
Pyro: Deep universal probabilistic programming
E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ...
Journal of Machine Learning Research, 2019
2252019
Pragmatic language interpretation as probabilistic inference
ND Goodman, MC Frank
Trends in cognitive sciences 20 (11), 818-829, 2016
2112016
The design and implementation of probabilistic programming languages
ND Goodman, A Stuhlmüller
1852014
Learning disentangled representations with semi-supervised deep generative models
N Siddharth, B Paige, JW Van de Meent, A Desmaison, N Goodman, ...
Advances in Neural Information Processing Systems, 5925-5935, 2017
1802017
Learning a theory of causality.
ND Goodman, TD Ullman, JB Tenenbaum
Psychological review 118 (1), 110, 2011
1752011
Amortized inference in probabilistic reasoning
S Gershman, N Goodman
Proceedings of the annual meeting of the cognitive science society 36 (36), 2014
1652014
A rational account of pedagogical reasoning: Teaching by, and learning from, examples
P Shafto, ND Goodman, TL Griffiths
Cognitive psychology 71, 55-89, 2014
1622014
Lightweight implementations of probabilistic programming languages via transformational compilation
D Wingate, A Stuhlmüller, N Goodman
Proceedings of the Fourteenth International Conference on Artificial …, 2011
1582011
Bootstrapping in a language of thought: A formal model of numerical concept learning
ST Piantadosi, JB Tenenbaum, ND Goodman
Cognition 123 (2), 199-217, 2012
1522012
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Articles 1–20