Publications

    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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