 | 2011 |
| 12 |  | Noah D. Goodman:
Learning and the language of thought.
ICCV Workshops 2011: 694 |
| 11 |  | David Wingate,
Noah D. Goodman,
Daniel M. Roy,
Leslie Pack Kaelbling,
Joshua B. Tenenbaum:
Bayesian Policy Search with Policy Priors.
IJCAI 2011: 1565-1570 |
| 10 |  | David Wingate,
Noah D. Goodman,
Andreas Stuhlmüller,
Jeffrey Mark Siskind:
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference.
NIPS 2011: 1152-1160 |
| 9 |  | Irvin Hwang,
Andreas Stuhlmüller,
Noah D. Goodman:
Inducing Probabilistic Programs by Bayesian Program Merging
CoRR abs/1110.5667: (2011) |
| 8 |  | 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) |
| 2010 |
| 7 |  | Charles Kemp,
Noah D. Goodman,
Joshua B. Tenenbaum:
Learning to Learn Causal Models.
Cognitive Science 34(7): 1185-1243 (2010) |
| 2009 |
| 6 |  | 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 |
| 5 |  | David Wingate,
Noah D. Goodman,
Daniel M. Roy,
Joshua B. Tenenbaum:
The Infinite Latent Events Model.
UAI 2009: 607-614 |
| 2008 |
| 4 |  | Noah D. Goodman,
Vikash K. Mansinghka,
Daniel M. Roy,
Keith Bonawitz,
Joshua B. Tenenbaum:
Church: a language for generative models.
UAI 2008: 220-229 |
| 3 |  | 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) |
| 2007 |
| 2 |  | Michael Frank,
Noah D. Goodman,
Joshua B. Tenenbaum:
A Bayesian Framework for Cross-Situational Word-Learning.
NIPS 2007 |
| 1 |  | Charles Kemp,
Noah D. Goodman,
Joshua B. Tenenbaum:
Learning and using relational theories.
NIPS 2007 |