| 2013 | ||
|---|---|---|
| c11 | ||
| 2012 | ||
| j4 | Yi-Ting Yeh, Lingfeng Yang, Matthew Watson, Noah D. Goodman, Pat Hanrahan: Synthesizing open worlds with constraints using locally annealed reversible jump MCMC. ACM Trans. Graph. 31(4): 56 (2012) | |
| c10 | Falk Lieder, Thomas L. Griffiths, Noah D. Goodman: "Burn-in, bias, and the rationality of anchoring". NIPS 2012: 2699-2707 | |
| c9 | Jerry O. Talton, Lingfeng Yang, Ranjitha Kumar, Maxine Lim, Noah D. Goodman, Radomír Mech: Learning design patterns with bayesian grammar induction. UIST 2012: 63-74 | |
| i4 | David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum: The Infinite Latent Events Model. CoRR abs/1205.2604 (2012) | |
| i3 | Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Keith Bonawitz, Daniel Tarlow: Church: a language for generative models. CoRR abs/1206.3255 (2012) | |
| i2 | Andreas Stuhlmüller, Noah D. Goodman: A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs. CoRR abs/1206.3555 (2012) | |
| 2011 | ||
| j3 | David Wingate, Andreas Stuhlmüller, Noah D. Goodman: Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation. Journal of Machine Learning Research - Proceedings Track 15: 770-778 (2011) | |
| c8 | ||
| c7 | David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum: Bayesian Policy Search with Policy Priors. IJCAI 2011: 1565-1570 | |
| c6 | David Wingate, Noah D. Goodman, Andreas Stuhlmüller, Jeffrey Mark Siskind: Nonstandard Interpretations of Probabilistic Programs for Efficient Inference. NIPS 2011: 1152-1160 | |
| i1 | Irvin Hwang, Andreas Stuhlmüller, Noah D. Goodman: Inducing Probabilistic Programs by Bayesian Program Merging. CoRR abs/1110.5667 (2011) | |
| 2010 | ||
| j2 | Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum: Learning to Learn Causal Models. Cognitive Science 34(7): 1185-1243 (2010) | |
| 2009 | ||
| c5 | Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah D. Goodman, Joshua B. Tenenbaum: Help or Hinder: Bayesian Models of Social Goal Inference. NIPS 2009: 1874-1882 | |
| c4 | David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum: The Infinite Latent Events Model. UAI 2009: 607-614 | |
| 2008 | ||
| j1 | Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman, Thomas L. Griffiths: A Rational Analysis of Rule-Based Concept Learning. Cognitive Science 32(1): 108-154 (2008) | |
| c3 | Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Keith Bonawitz, Joshua B. Tenenbaum: Church: a language for generative models. UAI 2008: 220-229 | |
| 2007 | ||
| c2 | Michael Frank, Noah D. Goodman, Joshua B. Tenenbaum: A Bayesian Framework for Cross-Situational Word-Learning. NIPS 2007 | |
| c1 | Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum: Learning and using relational theories. NIPS 2007 | |
Colors in the list of coauthors
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