Publications

    T. L. Griffiths

  • T. L. Griffiths, J. B. Tenenbaum:
    Probability, algorithmic complexity, and subjective randomness (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.

    @article{T.L.Griffiths:2003:63e26,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {Probability, algorithmic complexity, and subjective randomness},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/complex.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    Theory-based causal inference (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15

    @article{J.B.Tenenbaum:2003:ecffb,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Advances in Neural Information Processing Systems 15},
    title = {Theory-based causal inference},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/theory-final.pdf}
    }
  • C. Kemp, T. L. Griffiths, J. B. Tenenbaum:
    Discovering latent classes in relational data (pdf) (bibtex)
    MIT AI Memo

    @article{C.Kemp:2004:3640e,
    author = {C. Kemp and T. L. Griffiths and J. B. Tenenbaum},
    journal = {MIT AI Memo},
    title = {Discovering latent classes in relational data},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/~ckemp/www/papers/blockTR.pdf}
    }
  • D. Blei, T. L. Griffiths, M. I. Jordan, J. B. Tenenbaum:
    Hierarchical topic models and the nested Chinese restaurant process (pdf) (bibtex)
    Advances in Neural Information Processing Systems 16.

    @article{D.Blei:2004:e3764,
    author = {D. Blei and T. L. Griffiths and M. I. Jordan and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 16.},
    title = {Hierarchical topic models and the nested Chinese restaurant process},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://cog.brown.edu/~gruffydd/papers/ncrp.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    From algorithmic to subjective randomness (pdf) (bibtex)
    Advances in Neural Information Processing Systems 16.

    @article{T.L.Griffiths:2004:124b1,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 16.},
    title = {From algorithmic to subjective randomness},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://www-psych.stanford.edu/%7Egruffydd/papers/algrand.pdf}
    }
  • T. L. Griffiths, E. R. Baraff, J. B. Tenenbaum:
    Using physical theories to infer hidden causal structure (pdf) (bibtex)
    Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.

    @article{T.L.Griffiths:2004:063b5,
    author = {T. L. Griffiths and E. R. Baraff and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.},
    title = {Using physical theories to infer hidden causal structure},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/hidden-final.pdf}
    }
  • T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
    Parametric Embedding for Class Visualization (pdf) (bibtex)
    Advances in Neural Information Processing Systems 17

    @article{T.Iwata:2005:086e6,
    author = {T. Iwata and K. Saito and N. Ueda and S. Stromsten and T. L. Griffiths and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 17},
    title = {Parametric Embedding for Class Visualization},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips04pe.pdf}
    }
  • T. L. Griffiths, M. Steyvers, D. Blei, J. B. Tenenbaum:
    Integrating topics and syntax (pdf) (bibtex)
    Advances in Neural Information Processing Systems 17.

    @article{T.L.Griffiths:2005:261e1,
    author = {T. L. Griffiths and M. Steyvers and D. Blei and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 17.},
    title = {Integrating topics and syntax},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/composite.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Structure and strength in causal induction (pdf) (bibtex)
    Cognitive Psychology 51

    @article{T.L.Griffiths:2005:6f45f,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Cognitive Psychology 51},
    title = {Structure and strength in causal induction},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/structure-strength-reprint.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Optimal predictions in everyday cognition (pdf) (bibtex)
    Psychological Science 17

    @article{T.L.Griffiths:2006:70081,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Psychological Science 17},
    title = {Optimal predictions in everyday cognition},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Griffiths-Tenenbaum-PsychSci06.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Statistics and the Bayesian mind (pdf) (bibtex)
    Significance 3

    @article{T.L.Griffiths:2006:4b2a0,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Significance 3},
    title = {Statistics and the Bayesian mind},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/significance.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths, C. Kemp:
    Theory-based Bayesian models of inductive learning and reasoning (pdf) (bibtex)
    Trends in Cognitive Sciences, 10

    @article{J.B.Tenenbaum:2006:619f6,
    author = {J. B. Tenenbaum and T. L. Griffiths and C. Kemp},
    journal = {Trends in Cognitive Sciences, 10},
    title = {Theory-based Bayesian models of inductive learning and reasoning},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tics-theories-reprint.pdf}
    }
  • M. Purver, K. P. Kording, T. L. Griffiths, J. B. Tenenbaum:
    Unsupervised topic modelling for multi-party spoken discourse (pdf) (bibtex)
    Proceedings of Coling/ACL 2006.

    @article{M.Purver:2006:13efa,
    author = {M. Purver and K. P. Kording and T. L. Griffiths and J. B. Tenenbaum},
    journal = {Proceedings of Coling/ACL 2006.},
    title = {Unsupervised topic modelling for multi-party spoken discourse},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/purver-et-al06acl.pdf}
    }
  • V. K. Mansinghka, C. Kemp, J. B. Tenenbaum, T. L. Griffiths:
    Structured priors for structure learning. (pdf) (bibtex)
    Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006)

    @article{V.K.Mansinghka:2006:8d66d,
    author = {V. K. Mansinghka and C. Kemp and J. B. Tenenbaum and T. L. Griffiths},
    journal = {Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006)},
    title = {Structured priors for structure learning.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/structure.pdf}
    }
  • C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, N. Ueda:
    Learning systems of concepts with an infinite relational model. (pdf) (bibtex)
    Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)

    @article{C.Kemp:2006:53fd9,
    author = {C. Kemp and J. B. Tenenbaum and T. L. Griffiths and T. Yamada and N. Ueda},
    journal = {Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)},
    title = {Learning systems of concepts with an infinite relational model.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Kemp-etal-AAAI06.pdf}
    }
  • M. Frank, S. Goldwater, T. L. Griffiths, V. K. Mansinghka, J. B. Tenenbaum:
    Modeling human performance in statistical word segmentation (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

    @article{M.Frank:2007:0937b,
    author = {M. Frank and S. Goldwater and T. L. Griffiths and V. K. Mansinghka and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Modeling human performance in statistical word segmentation},
    year = {2007},
    keywords = {},
    doi = {},
    url = {}
    }
  • T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
    Parametric embedding for class visualization (pdf) (bibtex)
    Neural Computation 19

    @article{T.Iwata:2007:cf4a0,
    author = {T. Iwata and K. Saito and N. Ueda and S. Stromsten and T. L. Griffiths and J. B. Tenenbaum},
    journal = {Neural Computation 19},
    title = {Parametric embedding for class visualization},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/pe060912.pdf}
    }
  • T. L. Griffiths, M. Steyvers, J. B. Tenenbaum:
    Topics in semantic representation (pdf) (bibtex)
    Psychological Review 114

    @article{T.L.Griffiths:2007:7e3d8,
    author = {T. L. Griffiths and M. Steyvers and J. B. Tenenbaum},
    journal = {Psychological Review 114},
    title = {Topics in semantic representation},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/topics15.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    From mere coincidences to meaningful discoveries (pdf) (bibtex)
    Cognition 103

    @article{T.L.Griffiths:2007:30452,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Cognition 103},
    title = {From mere coincidences to meaningful discoveries},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/coincidences5.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Two proposals for causal grammars (pdf) (bibtex)
    Causal learning: Psychology, philosophy, and computation.

    @article{T.L.Griffiths:2007:1edca,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Causal learning: Psychology, philosophy, and computation.},
    title = {Two proposals for causal grammars},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/gt-grammar.pdf}
    }
  • N. D. Goodman, T. L. Griffiths, J. Feldman, J. B. Tenenbaum:
    A rational analysis of rule-based concept learning (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    #concepts, #categorization
    @article{N.D.Goodman:2007:fb1d0,
    author = {N. D. Goodman and T. L. Griffiths and J. Feldman and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {A rational analysis of rule-based concept learning},
    year = {2007},
    keywords = {concepts, categorization},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/op322-goodman.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths, S. Niyogi:
    Intuitive theories as grammars for causal inference (pdf) (bibtex)
    Causal learning: Psychology, philosophy, and computation.
    #causality
    @article{J.B.Tenenbaum:2007:e64ed,
    author = {J. B. Tenenbaum and T. L. Griffiths and S. Niyogi},
    journal = {Causal learning: Psychology, philosophy, and computation.},
    title = {Intuitive theories as grammars for causal inference},
    year = {2007},
    keywords = {causality},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tgn-grammar.pdf}
    }
  • T. L. Griffiths, C. Kemp, J. B. Tenenbaum:
    Bayesian models of cognition (pdf) (bibtex)
    Cambridge Handbook of Computational Cognitive Modeling
    #chapter
    @article{T.L.Griffiths:2008:dd194,
    author = {T. L. Griffiths and C. Kemp and J. B. Tenenbaum},
    journal = {Cambridge Handbook of Computational Cognitive Modeling},
    title = {Bayesian models of cognition},
    year = {2008},
    keywords = {chapter},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/bayeschapter.pdf}
    }
  • N. D. Goodman, J. B. Tenenbaum, J. Feldman, T. L. Griffiths:
    A rational analysis of rule-based concept learning (pdf) (bibtex)
    Cognitive Science
    #concepts, #language of thought
    @article{N.D.Goodman:2008:fb22c,
    author = {N. D. Goodman and J. B. Tenenbaum and J. Feldman and T. L. Griffiths},
    journal = {Cognitive Science},
    title = {A rational analysis of rule-based concept learning},
    year = {2008},
    keywords = {concepts, language of thought},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/RRfinal3.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Theory-based causal induction (pdf) (bibtex)
    Psychological Review
    #causality
    @article{T.L.Griffiths:2009:7bcd8,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Psychological Review},
    title = {Theory-based causal induction},
    year = {2009},
    keywords = {causality},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/tbci.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    Generalization, similarity, and Bayesian inference (pdf) (bibtex)
    Behavioral and Brain Sciences
    #additive clustering, #categorization, #concept learning, #contrast model, #features, #generalization, #psychological space, #similarity
    @article{J.B.Tenenbaum:2001:3148d,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Behavioral and Brain Sciences},
    title = {Generalization, similarity, and Bayesian inference},
    year = {2001},
    keywords = {additive clustering, categorization, concept learning, contrast model, features, generalization, psychological space, similarity},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tenenbaum_griffiths01.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    Some specifics about generalization (bibtex)
    Behavioral and Brain Sciences
    #generalization
    @article{J.B.Tenenbaum:2001:37912,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Behavioral and Brain Sciences},
    title = {Some specifics about generalization},
    year = {2001},
    keywords = {generalization},
    doi = {},
    url = {}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    The rational basis of representativeness (pdf) (bibtex)
    23rd Annual Conference of the Cognitive Science Society
    #categories
    @article{J.B.Tenenbaum:2001:c0d6a,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {23rd Annual Conference of the Cognitive Science Society},
    title = {The rational basis of representativeness},
    year = {2001},
    keywords = {categories},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/cogsci01_final.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Randomness and coincidences: Reconciling intuition and probability theory (pdf) (bibtex)
    23rd Annual Conference of the Cognitive Science Society
    #coincidences
    @article{T.L.Griffiths:2001:dff20,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {23rd Annual Conference of the Cognitive Science Society},
    title = {Randomness and coincidences: Reconciling intuition and probability theory},
    year = {2001},
    keywords = {coincidences},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/random.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    Structure learning in human causal induction (pdf) (bibtex)
    Advances in Neural Information Processing Systems 13
    #causality, #structure
    @article{J.B.Tenenbaum:2001:d746f,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Advances in Neural Information Processing Systems 13},
    title = {Structure learning in human causal induction},
    year = {2001},
    keywords = {causality, structure},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips00.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future (pdf) (bibtex)
    Proceedings of the 22nd Annual Conference of the Cognitive Science Society
    #prediction
    @article{T.L.Griffiths:2000:e6a13,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Proceedings of the 22nd Annual Conference of the Cognitive Science Society},
    title = {Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future},
    year = {2000},
    keywords = {prediction},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/future.pdf}
    }

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