Publications

    J.B. Tenenbaum

  • V. de Silva, J.B. Tenenbaum:
    Unsupervised learning of curved manifolds (pdf) (bibtex)
    Nonlinear Estimation and Classification ,

    @article{V.deSilva:2002:43893,
    author = {V. de Silva and J.B. Tenenbaum},
    journal = {Nonlinear Estimation and Classification ,},
    title = {Unsupervised learning of curved manifolds},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/conformal4.pdf}
    }
  • W.T. Freeman, J.B. Tenenbaum, E. Pasztor:
    Learning style translation for the lines of a drawing (pdf) (bibtex)
    ACM Transactions on Graphics

    @article{W.T.Freeman:2003:a429c,
    author = {W.T. Freeman and J.B. Tenenbaum and E. Pasztor},
    journal = {ACM Transactions on Graphics},
    title = {Learning style translation for the lines of a drawing},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/line-drawings-in-press.pdf}
    }
  • C.L. Baker, N.D. Goodman, J.B. Tenenbaum:
    Theory-based social goal inference (pdf) (bibtex)
    Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society
    #social cognition, #theory of mind, #action understanding, #goal inference, #inverse planning
    @article{C.L.Baker:2008:34d8a,
    author = {C.L. Baker and N.D. Goodman and J.B. Tenenbaum},
    journal = {Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society},
    title = {Theory-based social goal inference},
    year = {2008},
    keywords = {social cognition, theory of mind, action understanding, goal inference, inverse planning},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/cogsci2008.pdf}
    }
  • T.D. Ullman, C.L. Baker, O. Macindoe, O. Evans, N.D. Goodman, J.B. Tenenbaum:
    Help or hinder: Bayesian models of social goal inference (pdf) (bibtex)
    Advances in Neural Information Processing Systems
    #morality
    @article{T.D.Ullman:2010:0d18c,
    author = {T.D. Ullman and C.L. Baker and O. Macindoe and O. Evans and N.D. Goodman and J.B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems},
    title = {Help or hinder: Bayesian models of social goal inference},
    year = {2010},
    keywords = {morality},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/nips2010.pdf}
    }
  • A. F. Perfors, E. Wonnacott, J.B. Tenenbaum:
    Variability, negative evidence, and the acquisition of verb argument constructions (pdf) (bibtex)
    Journal of Child Language
    #language
    @article{A.F.Perfors:2010:a48c0,
    author = {A. F. Perfors and E. Wonnacott and J.B. Tenenbaum},
    journal = {Journal of Child Language},
    title = {Variability, negative evidence, and the acquisition of verb argument constructions},
    year = {2010},
    keywords = {language},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/vcpaper-forweb-finaldec09.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}
    }
  • S.J. Gershman, F.J. Jaekel, J.B. Tenenbaum:
    Bayesian vector analysis and the perception of hierarchical motion (pdf) (bibtex)
    Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society
    #vision, #motion perception
    @article{S.J.Gershman:2013:8a458,
    author = {S.J. Gershman and F.J. Jaekel and J.B. Tenenbaum},
    journal = {Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society},
    title = {Bayesian vector analysis and the perception of hierarchical motion},
    year = {2013},
    keywords = {vision, motion perception},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanJaekelTenenbaum13.pdf}
    }
  • D. Wingate, C. Diuk, T. O’Donnell, J.B. Tenenbaum, S.J. Gershman:
    Compositional policy priors (pdf) (bibtex)
    MIT CSAIL Technical Report 2013-007
    #reinforcement learning, #grammar induction
    @article{D.Wingate:2013:8a8cd,
    author = {D. Wingate and C. Diuk and T. O’Donnell and J.B. Tenenbaum and S.J. Gershman},
    journal = {MIT CSAIL Technical Report 2013-007},
    title = {Compositional policy priors},
    year = {2013},
    keywords = {reinforcement learning, grammar induction},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/MIT-CSAIL-TR-2013-007.pdf}
    }
  • T. Gerstenberg, N.D. Goodman, D.A. Lagnado, J.B. Tenenbaum:
    Noisy Newtons: Unifying process and dependency accounts of causal attribution (pdf) (bibtex)
    Proceedings of the 34th Annual Conference of the Cognitive Science Society
    #causality, #counterfactuals, #attribution, #intuitive physics
    @article{T.Gerstenberg:2012:8162b,
    author = {T. Gerstenberg and N.D. Goodman and D.A. Lagnado and J.B. Tenenbaum},
    journal = {Proceedings of the 34th Annual Conference of the Cognitive Science Society},
    title = {Noisy Newtons: Unifying process and dependency accounts of causal attribution},
    year = {2012},
    keywords = {causality, counterfactuals, attribution, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Noisy%20Newtons%20Unifying%20process%20and%20dependency%20accounts%20of%20causal%20attribution,%20Gerstenberg%20et%20al.,%202012.pdf}
    }
  • S.J. Gershman, J.B. Tenenbaum:
    Phrase similarity in humans and machines (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society.
    #similarity; semantics; neural networks
    @article{S.J.Gershman:2015:37e02,
    author = {S.J. Gershman and J.B. Tenenbaum},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society.},
    title = {Phrase similarity in humans and machines},
    year = {2015},
    keywords = {similarity; semantics; neural networks},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanTenenbaum15.pdf}
    }
  • S.J. Gershman, J.B. Tenenbaum, F. Jaekel:
    Discovering hierarchical motion structure (pdf) (bibtex)
    Vision Research
    #motion perception; structure learning
    @article{S.J.Gershman:2015:dcd05,
    author = {S.J. Gershman and J.B. Tenenbaum and F. Jaekel},
    journal = {Vision Research},
    title = {Discovering hierarchical motion structure},
    year = {2015},
    keywords = {motion perception; structure learning},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanTenenbaumJakel15.pdf}
    }
  • Austerweil, J.L., S.J. Gershman, J.B. Tenenbaum, T.L. Griffiths:
    Structure and flexibility in Bayesian models of cognition (pdf) (bibtex)
    Oxford Handbook of Computational and Mathematical Psychology
    #bayesian nonparametrics; structure learning
    @article{Austerweil:2015:5842a,
    author = {Austerweil and J.L. and S.J. Gershman and J.B. Tenenbaum and T.L. Griffiths},
    journal = {Oxford Handbook of Computational and Mathematical Psychology},
    title = {Structure and flexibility in Bayesian models of cognition},
    year = {2015},
    keywords = {bayesian nonparametrics; structure learning},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/Austerweil15.pdf}
    }
  • S.J. Gershman, E.J. Horvitz, J.B. Tenenbaum:
    Computational rationality: a converging paradigm for intelligence in brains, minds, and machines (pdf) (bibtex)
    Science
    #decision making, #reinforcement learning, #hypothesis sampling
    @article{S.J.Gershman:2015:79191,
    author = {S.J. Gershman and E.J. Horvitz and J.B. Tenenbaum},
    journal = {Science},
    title = {Computational rationality: a converging paradigm for intelligence in brains, minds, and machines},
    year = {2015},
    keywords = {decision making, reinforcement learning, hypothesis sampling},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanHorvitzTenenbaum15.pdf}
    }

add/edit publications