Publications


    C. Kemp

      Discovering latent classes in relational data (pdf) (bibtex)


      C. Kemp, T. L. Griffiths, J. B. Tenenbaum:
      MIT AI Memo

      Semi-supervised learning with trees (pdf) (bibtex)


      C. Kemp, T. L Griffiths, S. Stromsten, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 16.

      Context-sensitive induction (pdf) (bibtex)


      P. Shafto, C. Kemp, L. Baraff, J. Coley, J. B. Tenenbaum:
      Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.

      A generative theory of similarity (pdf) (bibtex)


      C. Kemp, A. Bernstein, J. B. Tenenbaum:
      Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.

      Theory-based Bayesian models of inductive learning and reasoning (pdf) (bibtex)


      J. B. Tenenbaum, T. L. Griffiths, C. Kemp:
      Trends in Cognitive Sciences, 10

      Structured priors for structure learning. (pdf) (bibtex)


      V. K. Mansinghka, C. Kemp, J. B. Tenenbaum, T. L. Griffiths:
      Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006)

      Learning systems of concepts with an infinite relational model. (pdf) (bibtex)


      C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, N. Ueda:
      Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)

      Learning cross-cutting systems of categories. (pdf) (bibtex)


      P. Shafto, C. Kemp, V. Mansignhka, M. Gordon, J. B. Tenenbaum:
      Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society

      Nonsense and sensibility: Inferring unseen possibilities. (pdf) (bibtex)


      L. A. Schmidt, C. Kemp, J. B. Tenenbaum:
      Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society

      Learning overhypotheses. (pdf) (bibtex)


      C. Kemp, A. Perfors, J. B. Tenenbaum:
      Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society

      Theory-based Bayesian models of inductive reasoning (pdf) (bibtex)


      J. B. Tenenbaum, C. Kemp, P. Shafto:
      Inductive reasoning.

      Learning causal schemata (pdf) (bibtex)


      C. Kemp, N. D. Goodman, J. B. Tenenbaum:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

      Combining causal and similarity-based reasoning (pdf) (bibtex)


      C. Kemp, P. Shafto, A. Berke, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 19

      Learning overhypotheses with hierarchical Bayesian models (pdf) (bibtex)


      C. Kemp, A. Perfors, J. B. Tenenbaum:
      Developmental Science 10

      Learning and using relational theories (pdf) (bibtex)


      C. Kemp, N. D. Goodman, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 20
      #theories, #language of thought

      Bayesian models of cognition (pdf) (bibtex)


      T. L. Griffiths, C. Kemp, J. B. Tenenbaum:
      Cambridge Handbook of Computational Cognitive Modeling
      #chapter

      The discovery of structural form (pdf) (bibtex)


      C. Kemp, J. B. Tenenbaum:
      Proceedings of the National Academy of Sciences
      #cognitive development, #structure discovery, #unsupervised learning

      Inductive reasoning about causally transmitted properties (pdf) (bibtex)


      P. Shafto, C. Kemp, E. R. Baraff, J. Coley, J. B. Tenenbaum:
      Cognition
      #property induction, #inductive reasoning

      Structured statistical models of inductive reasoning (pdf) (bibtex)


      C. Kemp, J. B. Tenenbaum:
      Psychological Review
      #inductive reasoning

      Learning annotated hierarchies from relational data (pdf) (bibtex)


      D. M. Roy, C. Kemp, V. K. Mansinghka, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 19
      #stochastic blockmodels, #annotated hierarchies, #hierachical

add/edit publications