Publications


    T. L. Griffiths

      Probability, algorithmic complexity, and subjective randomness (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.

      Theory-based causal inference (pdf) (bibtex)


      J. B. Tenenbaum, T. L. Griffiths:
      Advances in Neural Information Processing Systems 15

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


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

      Hierarchical topic models and the nested Chinese restaurant process (pdf) (bibtex)


      D. Blei, T. L. Griffiths, M. I. Jordan, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 16.

      From algorithmic to subjective randomness (pdf) (bibtex)


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

      Using physical theories to infer hidden causal structure (pdf) (bibtex)


      T. L. Griffiths, E. R. Baraff, J. B. Tenenbaum:
      Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.

      Parametric Embedding for Class Visualization (pdf) (bibtex)


      T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 17

      Integrating topics and syntax (pdf) (bibtex)


      T. L. Griffiths, M. Steyvers, D. Blei, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 17.

      Structure and strength in causal induction (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Cognitive Psychology 51

      Optimal predictions in everyday cognition (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Psychological Science 17

      Statistics and the Bayesian mind (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Significance 3

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


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

      Unsupervised topic modelling for multi-party spoken discourse (pdf) (bibtex)


      M. Purver, K. P. Kording, T. L. Griffiths, J. B. Tenenbaum:
      Proceedings of Coling/ACL 2006.

      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)

      Modeling human performance in statistical word segmentation (bibtex)


      M. Frank, S. Goldwater, T. L. Griffiths, V. K. Mansinghka, J. B. Tenenbaum:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society

      Parametric embedding for class visualization (pdf) (bibtex)


      T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
      Neural Computation 19

      Topics in semantic representation (pdf) (bibtex)


      T. L. Griffiths, M. Steyvers, J. B. Tenenbaum:
      Psychological Review 114

      From mere coincidences to meaningful discoveries (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Cognition 103

      Two proposals for causal grammars (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Causal learning: Psychology, philosophy, and computation.

      A rational analysis of rule-based concept learning (pdf) (bibtex)


      N. D. Goodman, T. L. Griffiths, J. Feldman, J. B. Tenenbaum:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
      #concepts, #categorization

      Intuitive theories as grammars for causal inference (pdf) (bibtex)


      J. B. Tenenbaum, T. L. Griffiths, S. Niyogi:
      Causal learning: Psychology, philosophy, and computation.
      #causality

      Bayesian models of cognition (pdf) (bibtex)


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

      A rational analysis of rule-based concept learning (pdf) (bibtex)


      N. D. Goodman, J. B. Tenenbaum, J. Feldman, T. L. Griffiths:
      Cognitive Science
      #concepts, #language of thought

      Theory-based causal induction (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Psychological Review
      #causality

      Some specifics about generalization (bibtex)


      J. B. Tenenbaum, T. L. Griffiths:
      Behavioral and Brain Sciences
      #generalization

      The rational basis of representativeness (pdf) (bibtex)


      J. B. Tenenbaum, T. L. Griffiths:
      23rd Annual Conference of the Cognitive Science Society
      #categories

      Randomness and coincidences: Reconciling intuition and probability theory (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      23rd Annual Conference of the Cognitive Science Society
      #coincidences

      Structure learning in human causal induction (pdf) (bibtex)


      J. B. Tenenbaum, T. L. Griffiths:
      Advances in Neural Information Processing Systems 13
      #causality, #structure

      Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future (pdf) (bibtex)


      T. L. Griffiths, J. B. Tenenbaum:
      Proceedings of the 22nd Annual Conference of the Cognitive Science Society
      #prediction

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