Publications

    S.J. Gershman

  • 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}
    }
  • 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}
    }

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