Publications

    A. Stuhlmueller

  • A. Stuhlmueller, J. B. Tenenbaum, N. D. Goodman:
    Learning Structured Generative Concepts (pdf) (bibtex)
    Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
    #concepts
    @article{A.Stuhlmueller:2010:6d11a,
    author = {A. Stuhlmueller and J. B. Tenenbaum and N. D. Goodman},
    journal = {Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society},
    title = {Learning Structured Generative Concepts},
    year = {2010},
    keywords = {concepts},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/structured-generative-concepts-cogsci2010.pdf}
    }
  • 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}
    }
  • J. McCoy, T. D. Ullman, A. Stuhlmueller, T. Gerstenberg, J. B. Tenenbaum:
    Why blame Bob? Probabilistic generative models, counterfactual reasoning, and blame attribution (pdf) (bibtex)
    Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society
    #counterfactuals, #blame attribution, #probabilistic models, #causal reasoning
    @article{J.McCoy:2012:73e9e,
    author = {J. McCoy and T. D. Ullman and A. Stuhlmueller and T. Gerstenberg and J. B. Tenenbaum},
    journal = {Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society},
    title = {Why blame Bob? Probabilistic generative models, counterfactual reasoning, and blame attribution},
    year = {2012},
    keywords = {counterfactuals, blame attribution, probabilistic models, causal reasoning},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/blame-cogsci2012.pdf}
    }
  • N. D. Goodman, A. Stuhlmueller:
    Knowledge and implicature: Modeling language understanding as social cognition (pdf) (bibtex)
    Topics in Cognitive Science
    #language, #pragmatics
    @article{N.D.Goodman:2013:23996,
    author = {N. D. Goodman and A. Stuhlmueller},
    journal = {Topics in Cognitive Science},
    title = {Knowledge and implicature: Modeling language understanding as social cognition},
    year = {2013},
    keywords = {language, pragmatics},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/implicature-topics2013.pdf}
    }
  • A. Stuhlmueller, N. D. Goodman:
    Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs (pdf) (bibtex)
    Journal of Cognitive Systems Research
    #theory of mind, #probabilistic programming
    @article{A.Stuhlmueller:2013:55d25,
    author = {A. Stuhlmueller and N. D. Goodman},
    journal = {Journal of Cognitive Systems Research},
    title = {Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs},
    year = {2013},
    keywords = {theory of mind, probabilistic programming},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/nested-conditioning-cogsys2013.pdf}
    }
  • A. Stuhlmueller, N. D. Goodman:
    A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs (web) (bibtex)
    Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)
    #dynamic programming, #inference, #probabilistic programming
    @article{A.Stuhlmueller:2012:da21e,
    author = {A. Stuhlmueller and N. D. Goodman},
    journal = {Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)},
    title = {A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs},
    year = {2012},
    keywords = {dynamic programming, inference, probabilistic programming},
    doi = {},
    url = {http://arxiv.org/abs/1206.3555}
    }
  • I. Hwang, A. Stuhlmueller, N. D. Goodman:
    Inducing Probabilistic Programs by Bayesian Program Merging (web) (bibtex)
    Technical Report. arXiv:1110.5667 [cs.AI]
    #probabilistic programming, #program induction
    @article{I.Hwang:2011:0c73e,
    author = {I. Hwang and A. Stuhlmueller and N. D. Goodman},
    journal = {Technical Report. arXiv:1110.5667 [cs.AI]},
    title = {Inducing Probabilistic Programs by Bayesian Program Merging},
    year = {2011},
    keywords = {probabilistic programming, program induction},
    doi = {},
    url = {http://arxiv.org/abs/1110.5667}
    }
  • D. Wingate, N. D. Goodman, A. Stuhlmueller, J. M. Siskind:
    Nonstandard Interpretations of Probabilistic Programs for Efficient Inference (pdf) (bibtex)
    Advances in Neural Information Processing Systems (NIPS) 24
    #probabilistic programming, #inference
    @article{D.Wingate:2011:ac593,
    author = {D. Wingate and N. D. Goodman and A. Stuhlmueller and J. M. Siskind},
    journal = {Advances in Neural Information Processing Systems (NIPS) 24},
    title = {Nonstandard Interpretations of Probabilistic Programs for Efficient Inference},
    year = {2011},
    keywords = {probabilistic programming, inference},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/nonstandard-interpretations-nips2011.pdf}
    }

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