Publications

    J. B. Tenenbaum

  • M. Balasubramanian, E. L. Shwartz, J. B. Tenenbaum, V. de Silva, J. C. Langford:
    The Isomap Algorithm and Topological Stability (pdf) (bibtex)
    Science

    @article{M.Balasubramanian:2002:0510c,
    author = {M. Balasubramanian and E. L. Shwartz and J. B. Tenenbaum and V. de Silva and J. C. Langford},
    journal = {Science},
    title = {The Isomap Algorithm and Topological Stability},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Balasubramanian-etal-2003.pdf}
    }
  • V. de Silva, J. B. Tenenbaum:
    Global versus local methods in nonlinear dimensionality reduction (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15.

    @article{V.deSilva:2002:e343b,
    author = {V. de Silva and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 15.},
    title = {Global versus local methods in nonlinear dimensionality reduction},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips02-localglobal-in-press.pdf}
    }
  • N. Sanjana, J. B. Tenenbaum:
    Bayesian models of inductive generalization (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15.

    @article{N.Sanjana:2002:d53e5,
    author = {N. Sanjana and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 15.},
    title = {Bayesian models of inductive generalization},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips02-induction-in-press.pdf}
    }
  • C. S. Kemp, J. B. Tenenbaum:
    Theory-based induction (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.

    @article{C.S.Kemp:2003:1f489,
    author = {C. S. Kemp and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {Theory-based induction},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/KempTenenbaum.pdf}
    }
  • T. R. Krynski, J. B. Tenenbaum:
    The role of causal models in reasoning under uncertainty (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.

    @article{T.R.Krynski:2003:d67aa,
    author = {T. R. Krynski and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {The role of causal models in reasoning under uncertainty},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/KrynskiTenenbaum2003.pdf}
    }
  • J. Sharma, V. Dragoi, J. B. Tenenbaum, E. K. Miller, M. Sur:
    V1 neurons signal acquisition of an internal representation of stimulus location (pdf) (bibtex)
    Science

    @article{J.Sharma:2003:104ea,
    author = {J. Sharma and V. Dragoi and J. B. Tenenbaum and E. K. Miller and M. Sur},
    journal = {Science},
    title = {V1 neurons signal acquisition of an internal representation of stimulus location},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/sharma-etal-2003.pdf}
    }
  • 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, S. Niyogi:
    Learning causal laws (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.

    @article{J.B.Tenenbaum:2003:5996e,
    author = {J. B. Tenenbaum and S. Niyogi},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {Learning causal laws},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/cl.pdf}
    }
  • D. Danks, T.L. Griffiths, J. B. Tenenbaum:
    Dynamical causal learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15

    @article{D.Danks:2003:33c78,
    author = {D. Danks and T.L. Griffiths and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 15},
    title = {Dynamical causal learning},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/causal3.pdf}
    }
  • M. Steyvers, J. B. Tenenbaum, E. J. Wagenmakers, B. Blum:
    Inferring causal networks from observations and interventions (pdf) (bibtex)
    Cognitive Science

    @article{M.Steyvers:2003:66abf,
    author = {M. Steyvers and J. B. Tenenbaum and E. J. Wagenmakers and B. Blum},
    journal = {Cognitive Science},
    title = {Inferring causal networks from observations and interventions},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/steyvers-etal-2003.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. S. Kemp, A. Perfors, J. B. Tenenbaum:
    Learning domain structures (pdf) (bibtex)
    Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.

    @article{C.S.Kemp:2004:55f3e,
    author = {C. S. Kemp and A. Perfors and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.},
    title = {Learning domain structures},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/mselect-cogsci.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}
    }
  • C. Kemp, T. L Griffiths, S. Stromsten, J. B. Tenenbaum:
    Semi-supervised learning with trees (pdf) (bibtex)
    Advances in Neural Information Processing Systems 16.

    @article{C.Kemp:2004:1b63e,
    author = {C. Kemp and T. L Griffiths and S. Stromsten and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 16.},
    title = {Semi-supervised learning with trees},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/~ckemp/www/papers/treessl.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}
    }
  • D. Sobel, J. B. Tenenbaum, A. Gopnik:
    Children’s causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers (pdf) (bibtex)
    Cognitive Science

    @article{D.Sobel:2004:68050,
    author = {D. Sobel and J. B. Tenenbaum and A. Gopnik},
    journal = {Cognitive Science},
    title = {Children’s causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/backwards_blocking_2004.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}
    }
  • P. Shafto, C. Kemp, L. Baraff, J. Coley, J. B. Tenenbaum:
    Context-sensitive induction (pdf) (bibtex)
    Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.

    @article{P.Shafto:2005:148ca,
    author = {P. Shafto and C. Kemp and L. Baraff and J. Coley and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.},
    title = {Context-sensitive induction},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/shaftoetal05.pdf}
    }
  • F. Xu, J. B. Tenenbaum:
    Word learning as Bayesian inference: Evidence from preschoolers (pdf) (bibtex)
    Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.

    @article{F.Xu:2005:6bccc,
    author = {F. Xu and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.},
    title = {Word learning as Bayesian inference: Evidence from preschoolers},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/f881-XuTenenbaum.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}
    }
  • M. Steyvers, J. B. Tenenbaum:
    The large-scale structure of semantic networks: statistical analyses and a model of semantic growth (pdf) (bibtex)
    Cognitive Science

    @article{M.Steyvers:2005:8e1fc,
    author = {M. Steyvers and J. B. Tenenbaum},
    journal = {Cognitive Science},
    title = {The large-scale structure of semantic networks: statistical analyses and a model of semantic growth},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/03nSteyvers.pdf}
    }
  • C. Kemp, A. Bernstein, J. B. Tenenbaum:
    A generative theory of similarity (pdf) (bibtex)
    Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.

    @article{C.Kemp:2005:ab95b,
    author = {C. Kemp and A. Bernstein and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.},
    title = {A generative theory of similarity},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ckemp/papers/KempBT05.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}
    }
  • N. Chater, J. B. Tenenbaum, A. Yuille:
    Probabilistic models of cognition: Conceptual foundations (pdf) (bibtex)
    Trends in Cognitive Sciences, 10

    @article{N.Chater:2006:1f9ca,
    author = {N. Chater and J. B. Tenenbaum and A. Yuille},
    journal = {Trends in Cognitive Sciences, 10},
    title = {Probabilistic models of cognition: Conceptual foundations},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/ChaterTenenbaumYuille-TICS06.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}
    }
  • P. Shafto, C. Kemp, V. Mansignhka, M. Gordon, J. B. Tenenbaum:
    Learning cross-cutting systems of categories. (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society

    @article{P.Shafto:2006:de72c,
    author = {P. Shafto and C. Kemp and V. Mansignhka and M. Gordon and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Learning cross-cutting systems of categories.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/shafto_etal_cogsci06.pdf}
    }
  • L. A. Schmidt, C. Kemp, J. B. Tenenbaum:
    Nonsense and sensibility: Inferring unseen possibilities. (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society

    @article{L.A.Schmidt:2006:eaf9a,
    author = {L. A. Schmidt and C. Kemp and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Nonsense and sensibility: Inferring unseen possibilities.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/SchmidtKempTenenbaum06.pdf}
    }
  • C. Kemp, A. Perfors, J. B. Tenenbaum:
    Learning overhypotheses. (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society

    @article{C.Kemp:2006:287b7,
    author = {C. Kemp and A. Perfors and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Learning overhypotheses.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/KempPerforsTenenbaum06.pdf}
    }
  • J. B. Tenenbaum, C. Kemp, P. Shafto:
    Theory-based Bayesian models of inductive reasoning (pdf) (bibtex)
    Inductive reasoning.

    @article{J.B.Tenenbaum:2007:7d016,
    author = {J. B. Tenenbaum and C. Kemp and P. Shafto},
    journal = {Inductive reasoning.},
    title = {Theory-based Bayesian models of inductive reasoning},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tenenbaum-kemp-shafto-final.pdf}
    }
  • K. P. Kording, U. Beierholm, W. J. Ma, S. Quartz, J. B. Tenenbaum, L. Shams:
    Causal inference in multisensory perception (web) (bibtex)
    PLoS ONE

    @article{K.P.Kording:2007:5eaab,
    author = {K. P. Kording and U. Beierholm and W. J. Ma and S. Quartz and J. B. Tenenbaum and L. Shams},
    journal = {PLoS ONE},
    title = {Causal inference in multisensory perception},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://dx.plos.org/10.1371/journal.pone.0000943}
    }
  • T. R. Krynski, J. B. Tenenbaum:
    The role of causality in judgment under uncertainty (pdf) (bibtex)
    Journal of Experimental Psychology: General 136

    @article{T.R.Krynski:2007:33389,
    author = {T. R. Krynski and J. B. Tenenbaum},
    journal = {Journal of Experimental Psychology: General 136},
    title = {The role of causality in judgment under uncertainty},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/krynski-tenenbaum-jepgen07.pdf}
    }
  • K. P. Kording, J. B. Tenenbaum, R. Shadmehr:
    The dynamics of memory are a consequence of optimal adaptation to a changing body (pdf) (bibtex)
    Nature Neuroscience 10

    @article{K.P.Kording:2007:eb657,
    author = {K. P. Kording and J. B. Tenenbaum and R. Shadmehr},
    journal = {Nature Neuroscience 10},
    title = {The dynamics of memory are a consequence of optimal adaptation to a changing body},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Kording-Tenenbaum-Shadmehr-07.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 = {}
    }
  • N. D. Goodman, V. K. Mansignhka, J. B. Tenenbaum:
    Learning grounded causal models (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

    @article{N.D.Goodman:2007:522c6,
    author = {N. D. Goodman and V. K. Mansignhka and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Learning grounded causal models},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/op510-goodman.pdf}
    }
  • C. Kemp, N. D. Goodman, J. B. Tenenbaum:
    Learning causal schemata (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

    @article{C.Kemp:2007:4607e,
    author = {C. Kemp and N. D. Goodman and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Learning causal schemata},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/KempGT07.pdf}
    }
  • 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}
    }
  • C. Kemp, P. Shafto, A. Berke, J. B. Tenenbaum:
    Combining causal and similarity-based reasoning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19

    @article{C.Kemp:2007:4d1d8,
    author = {C. Kemp and P. Shafto and A. Berke and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Combining causal and similarity-based reasoning},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/~ckemp/www/papers/KempSBT.pdf}
    }
  • K. Kording, J. B. Tenenbaum, R. Shadmehr:
    Multiple timescales and uncertainty in motor adaptation. (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19

    @article{K.Kording:2007:fc8fe,
    author = {K. Kording and J. B. Tenenbaum and R. Shadmehr},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Multiple timescales and uncertainty in motor adaptation.},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/na.pdf}
    }
  • K. Kording, J. B. Tenenbaum:
    Causal inference in sensorimotor integration. (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19

    @article{K.Kording:2007:90056,
    author = {K. Kording and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Causal inference in sensorimotor integration.},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/na.pdf}
    }
  • F. Xu, J. B. Tenenbaum:
    Word learning as Bayesian inference (pdf) (bibtex)
    Psychological Review 114

    @article{F.Xu:2007:6a865,
    author = {F. Xu and J. B. Tenenbaum},
    journal = {Psychological Review 114},
    title = {Word learning as Bayesian inference},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/XT-PsychRev-InPress.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}
    }
  • A. Gopnik, J. B. Tenenbaum:
    Bayesian networks, Bayesian learning, and cognitive development (pdf) (bibtex)
    Developmental Science 10

    @article{A.Gopnik:2007:27691,
    author = {A. Gopnik and J. B. Tenenbaum},
    journal = {Developmental Science 10},
    title = {Bayesian networks, Bayesian learning, and cognitive development},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/devsci07_gopnik_tenenbaum.pdf}
    }
  • F. Xu, J. B. Tenenbaum:
    Sensitivity to sampling in Bayesian word learning (pdf) (bibtex)
    Developmental Science 10

    @article{F.Xu:2007:034cd,
    author = {F. Xu and J. B. Tenenbaum},
    journal = {Developmental Science 10},
    title = {Sensitivity to sampling in Bayesian word learning},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/devsci07_xu_tenenbaum.pdf}
    }
  • C. Kemp, A. Perfors, J. B. Tenenbaum:
    Learning overhypotheses with hierarchical Bayesian models (pdf) (bibtex)
    Developmental Science 10

    @article{C.Kemp:2007:ade21,
    author = {C. Kemp and A. Perfors and J. B. Tenenbaum},
    journal = {Developmental Science 10},
    title = {Learning overhypotheses with hierarchical Bayesian models},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/devsci07_kempetal.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}
    }
  • C. L. Baker, J. B. Tenenbaum, R. Saxe:
    Goal inference as inverse planning (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    #social cognition
    @article{C.L.Baker:2007:a653b,
    author = {C. L. Baker and J. B. Tenenbaum and R. Saxe},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Goal inference as inverse planning},
    year = {2007},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/cogsci2007.pdf}
    }
  • C. L. Baker, J. B. Tenenbaum, R. Saxe:
    Bayesian models of human action understanding (pdf) (bibtex)
    Advances in Neural Information Processing Systems 18
    #social cognition
    @article{C.L.Baker:2006:86902,
    author = {C. L. Baker and J. B. Tenenbaum and R. Saxe},
    journal = {Advances in Neural Information Processing Systems 18},
    title = {Bayesian models of human action understanding},
    year = {2006},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips05-clb-jbt-rrs-final.pdf}
    }
  • N. D. Goodman, C. L. Baker, E. B. Bonawitz, V. K Mansinghka, A. Gopnik, H. Wellman, L. Schulz, J. B. Tenenbaum:
    Intuitive theories of mind: A rational approach to false belief (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
    #social cognition
    @article{N.D.Goodman:2006:a0079,
    author = {N. D. Goodman and C. L. Baker and E. B. Bonawitz and V. K Mansinghka and A. Gopnik and H. Wellman and L. Schulz and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Intuitive theories of mind: A rational approach to false belief},
    year = {2006},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/pos785-goodman.pdf}
    }
  • R. Saxe, J. B. Tenenbaum, S. Carey:
    Secret agents: inferences about hidden causes by 10- and 12-month-old infants (pdf) (bibtex)
    Psychological Science 16
    #social cognition
    @article{R.Saxe:2005:f22a4,
    author = {R. Saxe and J. B. Tenenbaum and S. Carey},
    journal = {Psychological Science 16},
    title = {Secret agents: inferences about hidden causes by 10- and 12-month-old infants},
    year = {2005},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/secret-agent-05.pdf}
    }
  • C. Kemp, N. D. Goodman, J. B. Tenenbaum:
    Learning and using relational theories (pdf) (bibtex)
    Advances in Neural Information Processing Systems 20
    #theories, #language of thought
    @article{C.Kemp:2008:bc9fb,
    author = {C. Kemp and N. D. Goodman and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 20},
    title = {Learning and using relational theories},
    year = {2008},
    keywords = {theories, language of thought},
    doi = {},
    url = {http://www.psy.cmu.edu/~ckemp/papers/kempgt07_paper.pdf}
    }
  • M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
    A Bayesian framework for cross-situational word-learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 20
    #language
    @article{M.C.Frank:2008:08550,
    author = {M. C. Frank and N. D. Goodman and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 20},
    title = {A Bayesian framework for cross-situational word-learning},
    year = {2008},
    keywords = {language},
    doi = {},
    url = {http://tedlab.mit.edu/~mcfrank/papers/frank-nips-2007.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}
    }
  • C. Kemp, J. B. Tenenbaum:
    The discovery of structural form (pdf) (bibtex)
    Proceedings of the National Academy of Sciences
    #cognitive development, #structure discovery, #unsupervised learning
    @article{C.Kemp:2008:eeacc,
    author = {C. Kemp and J. B. Tenenbaum},
    journal = {Proceedings of the National Academy of Sciences},
    title = {The discovery of structural form},
    year = {2008},
    keywords = {cognitive development, structure discovery, unsupervised learning},
    doi = {},
    url = {http://www.psy.cmu.edu/~ckemp/papers/kempt08.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}
    }
  • P. Shafto, C. Kemp, E. R. Baraff, J. Coley, J. B. Tenenbaum:
    Inductive reasoning about causally transmitted properties (pdf) (bibtex)
    Cognition
    #property induction, #inductive reasoning
    @article{P.Shafto:2008:49ac6,
    author = {P. Shafto and C. Kemp and E. R. Baraff and J. Coley and J. B. Tenenbaum},
    journal = {Cognition},
    title = {Inductive reasoning about causally transmitted properties},
    year = {2008},
    keywords = {property induction, inductive reasoning},
    doi = {},
    url = {http://louisville.edu/psychology/shafto/files/shaftoetal08.pdf}
    }
  • M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
    Using speakers’ referential intentions to model early cross-situational word learning (pdf) (bibtex)
    Psychological Science XX
    #language
    @article{M.C.Frank:2009:06462,
    author = {M. C. Frank and N. D. Goodman and J. B. Tenenbaum},
    journal = {Psychological Science XX},
    title = {Using speakers’ referential intentions to model early cross-situational word learning},
    year = {2009},
    keywords = {language},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/FGT-PsychScience.pdf}
    }
  • C. Kemp, J. B. Tenenbaum:
    Structured statistical models of inductive reasoning (pdf) (bibtex)
    Psychological Review
    #inductive reasoning
    @article{C.Kemp:2009:098d8,
    author = {C. Kemp and J. B. Tenenbaum},
    journal = {Psychological Review},
    title = {Structured statistical models of inductive reasoning},
    year = {2009},
    keywords = {inductive reasoning},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/struct-stat-inpress.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}
    }
  • C. L. Baker, R. Saxe, J. B. Tenenbaum:
    Action understanding as inverse planning (pdf) (bibtex)
    Cognition
    #action understanding, #goal inference, #theory of mind, #inverse reinforcement learning
    @article{C.L.Baker:2009:bfb25,
    author = {C. L. Baker and R. Saxe and J. B. Tenenbaum},
    journal = {Cognition},
    title = {Action understanding as inverse planning},
    year = {2009},
    keywords = {action understanding, goal inference, theory of mind, inverse reinforcement learning},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/cognition2009.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}
    }
  • J. B. Tenenbaum, V. De Silva, J. C. Langford:
    A global geometric framework for nonlinear dimensionality reduction (pdf) (bibtex)
    Science
    #dimensionality reduction
    @article{J.B.Tenenbaum:2000:0833c,
    author = {J. B. Tenenbaum and V. De Silva and J. C. Langford},
    journal = {Science},
    title = {A global geometric framework for nonlinear dimensionality reduction},
    year = {2000},
    keywords = {dimensionality reduction},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/sci_reprint.pdf}
    }
  • J. B. Tenenbaum, W. T. Freeman:
    Separating style and content with bilinear models (pdf) (bibtex)
    Neural Computation
    #singular value decomposition, #expectation-maximization
    @article{J.B.Tenenbaum:2000:7c055,
    author = {J. B. Tenenbaum and W. T. Freeman},
    journal = {Neural Computation},
    title = {Separating style and content with bilinear models},
    year = {2000},
    keywords = {singular value decomposition, expectation-maximization},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/NC120601.pdf}
    }
  • J. B. Tenenbaum:
    Rules and similarity in concept learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 12
    #exemplars, #rules
    @article{J.B.Tenenbaum:2000:ce656,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 12},
    title = {Rules and similarity in concept learning},
    year = {2000},
    keywords = {exemplars, rules},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips99preprint.pdf}
    }
  • J. B. Tenenbaum, F. Xu:
    Word learning as Bayesian inference (pdf) (bibtex)
    Proceedings of the 22nd Annual Conference of the Cognitive Science Society
    #language
    @article{J.B.Tenenbaum:2000:833ee,
    author = {J. B. Tenenbaum and F. Xu},
    journal = {Proceedings of the 22nd Annual Conference of the Cognitive Science Society},
    title = {Word learning as Bayesian inference},
    year = {2000},
    keywords = {language},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/cogsci00_FINAL.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}
    }
  • J. B. Tenenbaum:
    Bayesian modeling of human concept learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 11
    #concept learning
    @article{J.B.Tenenbaum:1999:fcf51,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 11},
    title = {Bayesian modeling of human concept learning},
    year = {1999},
    keywords = {concept learning},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/bayes.pdf}
    }
  • J. B. Tenenbaum:
    A Bayesian Framework for Concept Learning (pdf) (bibtex)
    Ph.D. Thesis, MIT
    #concept learning
    @article{J.B.Tenenbaum:1999:7385c,
    author = {J. B. Tenenbaum},
    journal = {Ph.D. Thesis, MIT},
    title = {A Bayesian Framework for Concept Learning},
    year = {1999},
    keywords = {concept learning},
    doi = {},
    url = {https://dspace.mit.edu/bitstream/1721.1/16714/1/42471842.pdf}
    }
  • J. B. Tenenbaum:
    Mapping a manifold of perceptual observations (pdf) (bibtex)
    Advances in Neural Information Processing Systems 10
    #dimensionality reduction
    @article{J.B.Tenenbaum:1998:a2b22,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 10},
    title = {Mapping a manifold of perceptual observations},
    year = {1998},
    keywords = {dimensionality reduction},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/man_nips.pdf}
    }
  • J. B. Tenenbaum:
    Learning the structure of similarity (pdf) (bibtex)
    Advances in Neural Information Processing Systems 8
    #structure, #generalization
    @article{J.B.Tenenbaum:1995:ab9ec,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 8},
    title = {Learning the structure of similarity},
    year = {1995},
    keywords = {structure, generalization},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips95.pdf}
    }
  • B. M. Lake, J. B. Tenenbaum:
    Discovering structure by learning sparse graphs (pdf) (bibtex)
    Proceedings of the 32nd Cognitive Science Conference
    #structure discovery, #semantic cognition, #unsupervised learning
    @article{B.M.Lake:2010:9f55c,
    author = {B. M. Lake and J. B. Tenenbaum},
    journal = {Proceedings of the 32nd Cognitive Science Conference},
    title = {Discovering structure by learning sparse graphs},
    year = {2010},
    keywords = {structure discovery, semantic cognition, unsupervised learning},
    doi = {},
    url = {http://web.mit.edu/brenden/www/LakeTenenbaum09CogSci.pdf}
    }
  • 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}
    }
  • S. T. Piantadosi, N. D. Goodman, J. B. Tenenbaum:
    Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts (pdf) (bibtex)
    Proceedings of the 32nd Cognitive Science Conference
    #concept learning, #language
    @article{S.T.Piantadosi:2010:298f2,
    author = {S. T. Piantadosi and N. D. Goodman and J. B. Tenenbaum},
    journal = {Proceedings of the 32nd Cognitive Science Conference},
    title = {Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts},
    year = {2010},
    keywords = {concept learning, language},
    doi = {},
    url = {http://web.mit.edu/piantado/www/papers/PiantadosiTenenbaumGoodman2010-CogsciFINAL.pdf}
    }
  • D. M. Roy, C. Kemp, V. K. Mansinghka, J. B. Tenenbaum:
    Learning annotated hierarchies from relational data (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19
    #stochastic blockmodels, #annotated hierarchies, #hierachical
    @article{D.M.Roy:2007:273ef,
    author = {D. M. Roy and C. Kemp and V. K. Mansinghka and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Learning annotated hierarchies from relational data},
    year = {2007},
    keywords = {stochastic blockmodels, annotated hierarchies, hierachical},
    doi = {},
    url = {http://danroy.org/papers/RoyKemManTen-NIPS-2007.pdf}
    }
  • N. D. Goodman, V. K. Mansinghka, D. M. Roy, K. Bonawitz, J. B. Tenenbaum:
    Church: a language for generative models (pdf) (bibtex)
    Uncertainty in Artificial Intelligence 2008
    #church, #probabilistic programming, #generative models
    @article{N.D.Goodman:2008:f5d3f,
    author = {N. D. Goodman and V. K. Mansinghka and D. M. Roy and K. Bonawitz and J. B. Tenenbaum},
    journal = {Uncertainty in Artificial Intelligence 2008},
    title = {Church: a language for generative models},
    year = {2008},
    keywords = {church, probabilistic programming, generative models},
    doi = {},
    url = {http://danroy.org/papers/church_GooManRoyBonTen-UAI-2008.pdf}
    }
  • V. K. Mansinghka, D. M. Roy, R. Rifkin, J. B. Tenenbaum:
    AClass: An online algorithm for generative classification (pdf) (bibtex)
    Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS07)
    #classification, #dirichlet process mixture, #particle filter
    @article{V.K.Mansinghka:2007:f870b,
    author = {V. K. Mansinghka and D. M. Roy and R. Rifkin and J. B. Tenenbaum},
    journal = {Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS07)},
    title = {AClass: An online algorithm for generative classification},
    year = {2007},
    keywords = {classification, dirichlet process mixture, particle filter},
    doi = {},
    url = {http://danroy.org/papers/ManRoyRifTen-AISTATS-2007.pdf}
    }
  • V. Savova, D. M. Roy, L. Schmidt, J. B. Tenenbaum:
    Discovering syntactic hierarchies (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    #annotated hierarchies, #stochastic blockmodels
    @article{V.Savova:2007:ff9bc,
    author = {V. Savova and D. M. Roy and L. Schmidt and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Discovering syntactic hierarchies},
    year = {2007},
    keywords = {annotated hierarchies, stochastic blockmodels},
    doi = {},
    url = {http://danroy.org/papers/SavRoySchTen-COGSCI-2007.pdf}
    }
  • V. K. Mansinghka, D. M. Roy, E. Jonas, J. B. Tenenbaum:
    Exact and approximate sampling by systematic stochastic search (pdf) (bibtex)
    AISTATS 2009
    #inference
    @article{V.K.Mansinghka:2009:9e63d,
    author = {V. K. Mansinghka and D. M. Roy and E. Jonas and J. B. Tenenbaum},
    journal = {AISTATS 2009},
    title = {Exact and approximate sampling by systematic stochastic search},
    year = {2009},
    keywords = {inference},
    doi = {},
    url = {http://danroy.org/papers/ManRoyJonTen-AISTATS-2009.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}
    }
  • J. K. Hamlin, T. D. Ullman, J. B. Tenenbaum, N. D. Goodman, C. L. Baker:
    The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model (web) (bibtex)
    Developmental Science
    #morality, #infants, #goal inference, #theory of mind, #inverse planning
    @article{J.K.Hamlin:2013:c9046,
    author = {J. K. Hamlin and T. D. Ullman and J. B. Tenenbaum and N. D. Goodman and C. L. Baker},
    journal = {Developmental Science},
    title = {The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model},
    year = {2013},
    keywords = {morality, infants, goal inference, theory of mind, inverse planning},
    doi = {},
    url = {http://onlinelibrary.wiley.com/doi/10.1111/desc.12017/abstract}
    }
  • E. Bonawitz, T.D. Ullman, A. Gopnik, J. B. Tenenbaum:
    Sticking to the evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism (pdf) (bibtex)
    IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)
    #children, #theory learning, #intuitive theories, #magnetism
    @article{E.Bonawitz:2012:e7f24,
    author = {E. Bonawitz and T.D. Ullman and A. Gopnik and J. B. Tenenbaum},
    journal = {IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)},
    title = {Sticking to the evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism},
    year = {2012},
    keywords = {children, theory learning, intuitive theories, magnetism},
    doi = {},
    url = {http://cocosci.berkeley.edu/Liz/BonawitzetalICDL12.pdf}
    }
  • R. B. Grosse, R. Salakhutdinov, W. T. Freeman, J. B. Tenenbaum:
    Exploiting compositionality to explore a large space of model structures (pdf) (bibtex)
    Proceedings of the 28th Conference on Uncertainty in AI (UAI)
    #structure discovery, #unsupervised learning, #bayesian model
    @article{R.B.Grosse:2012:f3693,
    author = {R. B. Grosse and R. Salakhutdinov and W. T. Freeman and J. B. Tenenbaum},
    journal = {Proceedings of the 28th Conference on Uncertainty in AI (UAI)},
    title = {Exploiting compositionality to explore a large space of model structures},
    year = {2012},
    keywords = {structure discovery, unsupervised learning, bayesian model},
    doi = {},
    url = {http://people.csail.mit.edu/rgrosse/uai2012-matrix.pdf}
    }
  • D. Duvenaud, J. R. Lloyd, R. B. Grosse, J. B. Tenenbaum, Z. Ghahramani:
    Structure discovery in nonparametric regression through compositional kernel search (pdf) (bibtex)
    International Conference on Machine Learning
    #structure discovery, #unsupervised learning, #bayesian model
    @article{D.Duvenaud:2013:29ae2,
    author = {D. Duvenaud and J. R. Lloyd and R. B. Grosse and J. B. Tenenbaum and Z. Ghahramani},
    journal = {International Conference on Machine Learning},
    title = {Structure discovery in nonparametric regression through compositional kernel search},
    year = {2013},
    keywords = {structure discovery, unsupervised learning, bayesian model},
    doi = {},
    url = {http://people.csail.mit.edu/rgrosse/icml2013-gp.pdf}
    }
  • T. Gerstenberg, T. D. Ullman, M. Kleiman-Weiner, D. A. Lagnado, J. B. Tenenbaum:
    Wins above replacement: Responsibility attributions as counterfactual replacements (pdf) (bibtex)
    Proceedings of the 36th Annual Conference of the Cognitive Science Society
    #responsibility, #attribution, #counterfactuals, #causality, #bayesian modeling, #theory of mind
    @article{T.Gerstenberg:2014:8eaf9,
    author = {T. Gerstenberg and T. D. Ullman and M. Kleiman-Weiner and D. A. Lagnado and J. B. Tenenbaum},
    journal = { Proceedings of the 36th Annual Conference of the Cognitive Science Society},
    title = {Wins above replacement: Responsibility attributions as counterfactual replacements},
    year = {2014},
    keywords = {responsibility, attribution, counterfactuals, causality, bayesian modeling, theory of mind},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Wins%20above%20replacement%20(Gerstenberg%20et%20al,%202014).pdf}
    }
  • T. Gerstenberg, N. D. Goodman, D. A. Lagnado, J. B. Tenenbaum:
    From counterfactual simulation to causal judgment (pdf) (bibtex)
    Proceedings of the 36th Annual Conference of the Cognitive Science Society
    #causality, #counterfactuals, #simulation, #intuitive physics, #attribution
    @article{T.Gerstenberg:2014:10b25,
    author = {T. Gerstenberg and N. D. Goodman and D. A. Lagnado and J. B. Tenenbaum},
    journal = { Proceedings of the 36th Annual Conference of the Cognitive Science Society},
    title = {From counterfactual simulation to causal judgment},
    year = {2014},
    keywords = {causality, counterfactuals, simulation, intuitive physics, attribution},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/From%20counterfactual%20simulation%20to%20causal%20judgment%20(Gerstenberg%20et%20al,%202014).pdf}
    }

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