S.J. Gershman

      Multistability and Perceptual Inference (pdf) (bibtex)

      S.J. Gershman, E. Vul, J.B. Tenenbaum:
      Neural Computation
      #vision, #mcmc

      Bayesian vector analysis and the perception of hierarchical motion (pdf) (bibtex)

      S.J. Gershman, F.J. Jaekel, J.B. Tenenbaum:
      Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society
      #vision, #motion perception

      Compositional policy priors (pdf) (bibtex)

      D. Wingate, C. Diuk, T. O'Donnell, J.B. Tenenbaum, S.J. Gershman:
      MIT CSAIL Technical Report 2013-007
      #reinforcement learning, #grammar induction

      Phrase similarity in humans and machines (pdf) (bibtex)

      S.J. Gershman, J.B. Tenenbaum:
      Proceedings of the 37th Annual Conference of the Cognitive Science Society.
      #similarity; semantics; neural networks

      Discovering hierarchical motion structure (pdf) (bibtex)

      S.J. Gershman, J.B. Tenenbaum, F. Jaekel:
      Vision Research
      #motion perception; structure learning

      Structure and flexibility in Bayesian models of cognition (pdf) (bibtex)

      Austerweil, J.L., S.J. Gershman, J.B. Tenenbaum, T.L. Griffiths:
      Oxford Handbook of Computational and Mathematical Psychology
      #bayesian nonparametrics; structure learning

      Computational rationality: a converging paradigm for intelligence in brains, minds, and machines (pdf) (bibtex)

      S.J. Gershman, E.J. Horvitz, J.B. Tenenbaum:
      #decision making, #reinforcement learning, #hypothesis sampling

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