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Thomas L. Griffiths: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda
    Learning Systems of Concepts with an Infinite Relational Model. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Sharon Goldwater, Thomas L. Griffiths, Mark Johnson
    Contextual Dependencies in Unsupervised Word Segmentation. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  3. Matthew Purver, Konrad P. Körding, Thomas L. Griffiths, Joshua B. Tenenbaum
    Unsupervised Topic Modelling for Multi-Party Spoken Discourse. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  4. Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths
    Probabilistic author-topic models for information discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:306-315 [Conf]
  5. David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum
    Hierarchical Topic Models and the Nested Chinese Restaurant Process. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  6. David Danks, Thomas L. Griffiths, Joshua B. Tenenbaum
    Dynamical Causal Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:67-74 [Conf]
  7. Thomas L. Griffiths, Mark Steyvers
    Prediction and Semantic Association. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:11-18 [Conf]
  8. Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum
    Integrating Topics and Syntax. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  9. Thomas L. Griffiths, Joshua B. Tenenbaum
    Using Vocabulary Knowledge in Bayesian Multinomial Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1385-1392 [Conf]
  10. Thomas L. Griffiths, Joshua B. Tenenbaum
    From Algorithmic to Subjective Randomness. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
    Parametric Embedding for Class Visualization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  12. Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum
    Semi-Supervised Learning with Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  13. Joshua B. Tenenbaum, Thomas L. Griffiths
    Structure Learning in Human Causal Induction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:59-65 [Conf]
  14. Joshua B. Tenenbaum, Thomas L. Griffiths
    Theory-Based Causal Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:35-42 [Conf]
  15. Mark Johnson, Thomas L. Griffiths, Sharon Goldwater
    Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:641-648 [Conf]
  16. Daniel J. Navarro, Thomas L. Griffiths
    A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1033-1040 [Conf]
  17. Frank Wood, Thomas L. Griffiths
    Particle Filtering for Nonparametric Bayesian Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1513-1520 [Conf]
  18. Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth
    The Author-Topic Model for Authors and Documents. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:487-494 [Conf]
  19. Frank Wood, Thomas L. Griffiths, Zoubin Ghahramani
    A Non-Parametric Bayesian Method for Inferring Hidden Causes. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  20. Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum
    Structured Priors for Structure Learning. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  21. Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process. [Citation Graph (, )][DBLP]


  22. Bayesian Inference for PCFGs via Markov Chain Monte Carlo. [Citation Graph (, )][DBLP]


  23. Improved Reconstruction of Protolanguage Word Forms. [Citation Graph (, )][DBLP]


  24. Markov Chain Monte Carlo with People. [Citation Graph (, )][DBLP]


  25. A Probabilistic Approach to Language Change. [Citation Graph (, )][DBLP]


  26. Modeling human function learning with Gaussian processes. [Citation Graph (, )][DBLP]


  27. Analyzing human feature learning as nonparametric Bayesian inference. [Citation Graph (, )][DBLP]


  28. Modeling the effects of memory on human online sentence processing with particle filters. [Citation Graph (, )][DBLP]


  29. A rational model of preference learning and choice prediction by children. [Citation Graph (, )][DBLP]


  30. How memory biases affect information transmission: A rational analysis of serial reproduction. [Citation Graph (, )][DBLP]


  31. The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features. [Citation Graph (, )][DBLP]


  32. A Probabilistic Approach to Diachronic Phonology. [Citation Graph (, )][DBLP]


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