Mcmc
- D. Wingate, A. Stuhlmueller, N. D. Goodman:
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation (pdf) (bibtex)
Proceedings of the 14th international conference on Artificial Intelligence and Statistics
#probabilistic programming, #mcmc, #inference
@article{D.Wingate:2011:f0689,
author = {D. Wingate and A. Stuhlmueller and N. D. Goodman},
journal = {Proceedings of the 14th international conference on Artificial Intelligence and Statistics},
title = {Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation},
year = {2011},
keywords = {probabilistic programming, mcmc, inference},
doi = {},
url = {http://www.mit.edu/~ast/papers/lightweight-mcmc-aistats2011.pdf}
}
- S.J. Gershman, E. Vul, J.B. Tenenbaum:
Multistability and Perceptual Inference (pdf) (bibtex)
Neural Computation
#vision, #mcmc
@article{S.J.Gershman:2012:21525,
author = {S.J. Gershman and E. Vul and J.B. Tenenbaum},
journal = {Neural Computation},
title = {Multistability and Perceptual Inference},
year = {2012},
keywords = {vision, mcmc},
doi = {},
url = {http://www.princeton.edu/~sjgershm/GershmanVulTenenbaum12.pdf}
}
- T. D. Ullman, N. D. Goodman and J. B. Tenenbaum:
Theory learning as stochastic search in the language of thought (pdf) (bibtex)
Cognitive Development
#children, #theory learning, #intuitive theories, #mcmc, #search
@article{T.D.Ullman:2012:1b1b6,
author = {T. D. Ullman and N. D. Goodman and J. B. Tenenbaum},
journal = {Cognitive Development},
title = { Theory learning as stochastic search in the language of thought},
year = {2012},
keywords = {children, theory learning, intuitive theories, mcmc, search},
doi = {},
url = {http://www.mit.edu/~tomeru/papers/tlss-final.pdf}
}
- T. D. Ullman, N. D. Goodman and J. B. Tenenbaum:
Theory acquisition as stochastic search (pdf) (bibtex)
Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
#theory learning, #intuitive theories, #development, #mcmc
@article{T.D.Ullman:2010:08551,
author = {T. D. Ullman and N. D. Goodman and J. B. Tenenbaum},
journal = {Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society},
title = {Theory acquisition as stochastic search},
year = {2010},
keywords = {theory learning, intuitive theories, development, mcmc},
doi = {},
url = {http://web.mit.edu/tomeru/www/papers/tlss2010.pdf}
}
- Vikash Mansinghka*, Tejas Kulkarni*, Yura Perov, Josh Tenenbaum:
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs (pdf) (bibtex)
NIPS 2013
#probabilistic programming, #computational vision, #inverse graphics, #mcmc
@article{VikashMansinghka*:2013:ea642,
author = {Vikash Mansinghka* and Tejas Kulkarni* and Yura Perov and Josh Tenenbaum},
journal = {NIPS 2013},
title = {Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs},
year = {2013},
keywords = {probabilistic programming, computational vision, inverse graphics, mcmc},
doi = {},
url = {http://arxiv.org/pdf/1307.0060v1.pdf}
}
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