T. L. Griffiths
- T. L. Griffiths, J. B. Tenenbaum:
Probability, algorithmic complexity, and subjective randomness (pdf) (bibtex)
Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.
@article{T.L.Griffiths:2003:63e26,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
title = {Probability, algorithmic complexity, and subjective randomness},
year = {2003},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/complex.pdf}
}
- J. B. Tenenbaum, T. L. Griffiths:
Theory-based causal inference (pdf) (bibtex)
Advances in Neural Information Processing Systems 15
@article{J.B.Tenenbaum:2003:ecffb,
author = {J. B. Tenenbaum and T. L. Griffiths},
journal = {Advances in Neural Information Processing Systems 15},
title = {Theory-based causal inference},
year = {2003},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/theory-final.pdf}
}
- C. Kemp, T. L. Griffiths, J. B. Tenenbaum:
Discovering latent classes in relational data (pdf) (bibtex)
MIT AI Memo
@article{C.Kemp:2004:3640e,
author = {C. Kemp and T. L. Griffiths and J. B. Tenenbaum},
journal = {MIT AI Memo},
title = {Discovering latent classes in relational data},
year = {2004},
keywords = {},
doi = {},
url = {http://web.mit.edu/~ckemp/www/papers/blockTR.pdf}
}
- D. Blei, T. L. Griffiths, M. I. Jordan, J. B. Tenenbaum:
Hierarchical topic models and the nested Chinese restaurant process (pdf) (bibtex)
Advances in Neural Information Processing Systems 16.
@article{D.Blei:2004:e3764,
author = {D. Blei and T. L. Griffiths and M. I. Jordan and J. B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems 16.},
title = {Hierarchical topic models and the nested Chinese restaurant process},
year = {2004},
keywords = {},
doi = {},
url = {http://cog.brown.edu/~gruffydd/papers/ncrp.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
From algorithmic to subjective randomness (pdf) (bibtex)
Advances in Neural Information Processing Systems 16.
@article{T.L.Griffiths:2004:124b1,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems 16.},
title = {From algorithmic to subjective randomness},
year = {2004},
keywords = {},
doi = {},
url = {http://www-psych.stanford.edu/%7Egruffydd/papers/algrand.pdf}
}
- T. L. Griffiths, E. R. Baraff, J. B. Tenenbaum:
Using physical theories to infer hidden causal structure (pdf) (bibtex)
Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.
@article{T.L.Griffiths:2004:063b5,
author = {T. L. Griffiths and E. R. Baraff and J. B. Tenenbaum},
journal = {Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.},
title = {Using physical theories to infer hidden causal structure},
year = {2004},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/hidden-final.pdf}
}
- T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
Parametric Embedding for Class Visualization (pdf) (bibtex)
Advances in Neural Information Processing Systems 17
@article{T.Iwata:2005:086e6,
author = {T. Iwata and K. Saito and N. Ueda and S. Stromsten and T. L. Griffiths and J. B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems 17},
title = {Parametric Embedding for Class Visualization},
year = {2005},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/nips04pe.pdf}
}
- T. L. Griffiths, M. Steyvers, D. Blei, J. B. Tenenbaum:
Integrating topics and syntax (pdf) (bibtex)
Advances in Neural Information Processing Systems 17.
@article{T.L.Griffiths:2005:261e1,
author = {T. L. Griffiths and M. Steyvers and D. Blei and J. B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems 17.},
title = {Integrating topics and syntax},
year = {2005},
keywords = {},
doi = {},
url = {http://cocosci.berkeley.edu/tom/papers/composite.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
Structure and strength in causal induction (pdf) (bibtex)
Cognitive Psychology 51
@article{T.L.Griffiths:2005:6f45f,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Cognitive Psychology 51},
title = {Structure and strength in causal induction},
year = {2005},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/structure-strength-reprint.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
Optimal predictions in everyday cognition (pdf) (bibtex)
Psychological Science 17
@article{T.L.Griffiths:2006:70081,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Psychological Science 17},
title = {Optimal predictions in everyday cognition},
year = {2006},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/Griffiths-Tenenbaum-PsychSci06.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
Statistics and the Bayesian mind (pdf) (bibtex)
Significance 3
@article{T.L.Griffiths:2006:4b2a0,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Significance 3},
title = {Statistics and the Bayesian mind},
year = {2006},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/significance.pdf}
}
- J. B. Tenenbaum, T. L. Griffiths, C. Kemp:
Theory-based Bayesian models of inductive learning and reasoning (pdf) (bibtex)
Trends in Cognitive Sciences, 10
@article{J.B.Tenenbaum:2006:619f6,
author = {J. B. Tenenbaum and T. L. Griffiths and C. Kemp},
journal = {Trends in Cognitive Sciences, 10},
title = {Theory-based Bayesian models of inductive learning and reasoning},
year = {2006},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/tics-theories-reprint.pdf}
}
- M. Purver, K. P. Kording, T. L. Griffiths, J. B. Tenenbaum:
Unsupervised topic modelling for multi-party spoken discourse (pdf) (bibtex)
Proceedings of Coling/ACL 2006.
@article{M.Purver:2006:13efa,
author = {M. Purver and K. P. Kording and T. L. Griffiths and J. B. Tenenbaum},
journal = {Proceedings of Coling/ACL 2006.},
title = {Unsupervised topic modelling for multi-party spoken discourse},
year = {2006},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/purver-et-al06acl.pdf}
}
- V. K. Mansinghka, C. Kemp, J. B. Tenenbaum, T. L. Griffiths:
Structured priors for structure learning. (pdf) (bibtex)
Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006)
@article{V.K.Mansinghka:2006:8d66d,
author = {V. K. Mansinghka and C. Kemp and J. B. Tenenbaum and T. L. Griffiths},
journal = {Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006)},
title = {Structured priors for structure learning.},
year = {2006},
keywords = {},
doi = {},
url = {http://cocosci.berkeley.edu/tom/papers/structure.pdf}
}
- C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, N. Ueda:
Learning systems of concepts with an infinite relational model. (pdf) (bibtex)
Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)
@article{C.Kemp:2006:53fd9,
author = {C. Kemp and J. B. Tenenbaum and T. L. Griffiths and T. Yamada and N. Ueda},
journal = {Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)},
title = {Learning systems of concepts with an infinite relational model.},
year = {2006},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/Kemp-etal-AAAI06.pdf}
}
- M. Frank, S. Goldwater, T. L. Griffiths, V. K. Mansinghka, J. B. Tenenbaum:
Modeling human performance in statistical word segmentation (bibtex)
Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
@article{M.Frank:2007:0937b,
author = {M. Frank and S. Goldwater and T. L. Griffiths and V. K. Mansinghka and J. B. Tenenbaum},
journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
title = {Modeling human performance in statistical word segmentation},
year = {2007},
keywords = {},
doi = {},
url = {}
}
- T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
Parametric embedding for class visualization (pdf) (bibtex)
Neural Computation 19
@article{T.Iwata:2007:cf4a0,
author = {T. Iwata and K. Saito and N. Ueda and S. Stromsten and T. L. Griffiths and J. B. Tenenbaum},
journal = {Neural Computation 19},
title = {Parametric embedding for class visualization},
year = {2007},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/pe060912.pdf}
}
- T. L. Griffiths, M. Steyvers, J. B. Tenenbaum:
Topics in semantic representation (pdf) (bibtex)
Psychological Review 114
@article{T.L.Griffiths:2007:7e3d8,
author = {T. L. Griffiths and M. Steyvers and J. B. Tenenbaum},
journal = {Psychological Review 114},
title = {Topics in semantic representation},
year = {2007},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/topics15.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
From mere coincidences to meaningful discoveries (pdf) (bibtex)
Cognition 103
@article{T.L.Griffiths:2007:30452,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Cognition 103},
title = {From mere coincidences to meaningful discoveries},
year = {2007},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/coincidences5.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
Two proposals for causal grammars (pdf) (bibtex)
Causal learning: Psychology, philosophy, and computation.
@article{T.L.Griffiths:2007:1edca,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Causal learning: Psychology, philosophy, and computation.},
title = {Two proposals for causal grammars},
year = {2007},
keywords = {},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/gt-grammar.pdf}
}
- N. D. Goodman, T. L. Griffiths, J. Feldman, J. B. Tenenbaum:
A rational analysis of rule-based concept learning (pdf) (bibtex)
Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
#concepts, #categorization
@article{N.D.Goodman:2007:fb1d0,
author = {N. D. Goodman and T. L. Griffiths and J. Feldman and J. B. Tenenbaum},
journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
title = {A rational analysis of rule-based concept learning},
year = {2007},
keywords = {concepts, categorization},
doi = {},
url = {http://www.mit.edu/~ndg/papers/op322-goodman.pdf}
}
- J. B. Tenenbaum, T. L. Griffiths, S. Niyogi:
Intuitive theories as grammars for causal inference (pdf) (bibtex)
Causal learning: Psychology, philosophy, and computation.
#causality
@article{J.B.Tenenbaum:2007:e64ed,
author = {J. B. Tenenbaum and T. L. Griffiths and S. Niyogi},
journal = {Causal learning: Psychology, philosophy, and computation.},
title = {Intuitive theories as grammars for causal inference},
year = {2007},
keywords = {causality},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/tgn-grammar.pdf}
}
- T. L. Griffiths, C. Kemp, J. B. Tenenbaum:
Bayesian models of cognition (pdf) (bibtex)
Cambridge Handbook of Computational Cognitive Modeling
#chapter
@article{T.L.Griffiths:2008:dd194,
author = {T. L. Griffiths and C. Kemp and J. B. Tenenbaum},
journal = {Cambridge Handbook of Computational Cognitive Modeling},
title = {Bayesian models of cognition},
year = {2008},
keywords = {chapter},
doi = {},
url = {http://cocosci.berkeley.edu/tom/papers/bayeschapter.pdf}
}
- N. D. Goodman, J. B. Tenenbaum, J. Feldman, T. L. Griffiths:
A rational analysis of rule-based concept learning (pdf) (bibtex)
Cognitive Science
#concepts, #language of thought
@article{N.D.Goodman:2008:fb22c,
author = {N. D. Goodman and J. B. Tenenbaum and J. Feldman and T. L. Griffiths},
journal = {Cognitive Science},
title = {A rational analysis of rule-based concept learning},
year = {2008},
keywords = {concepts, language of thought},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/RRfinal3.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
Theory-based causal induction (pdf) (bibtex)
Psychological Review
#causality
@article{T.L.Griffiths:2009:7bcd8,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Psychological Review},
title = {Theory-based causal induction},
year = {2009},
keywords = {causality},
doi = {},
url = {http://cocosci.berkeley.edu/tom/papers/tbci.pdf}
}
- J. B. Tenenbaum, T. L. Griffiths:
Generalization, similarity, and Bayesian inference (pdf) (bibtex)
Behavioral and Brain Sciences
#additive clustering, #categorization, #concept learning, #contrast model, #features, #generalization, #psychological space, #similarity
@article{J.B.Tenenbaum:2001:3148d,
author = {J. B. Tenenbaum and T. L. Griffiths},
journal = {Behavioral and Brain Sciences},
title = {Generalization, similarity, and Bayesian inference},
year = {2001},
keywords = {additive clustering, categorization, concept learning, contrast model, features, generalization, psychological space, similarity},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/tenenbaum_griffiths01.pdf}
}
- J. B. Tenenbaum, T. L. Griffiths:
Some specifics about generalization (bibtex)
Behavioral and Brain Sciences
#generalization
@article{J.B.Tenenbaum:2001:37912,
author = {J. B. Tenenbaum and T. L. Griffiths},
journal = {Behavioral and Brain Sciences},
title = {Some specifics about generalization},
year = {2001},
keywords = {generalization},
doi = {},
url = {}
}
- J. B. Tenenbaum, T. L. Griffiths:
The rational basis of representativeness (pdf) (bibtex)
23rd Annual Conference of the Cognitive Science Society
#categories
@article{J.B.Tenenbaum:2001:c0d6a,
author = {J. B. Tenenbaum and T. L. Griffiths},
journal = {23rd Annual Conference of the Cognitive Science Society},
title = {The rational basis of representativeness},
year = {2001},
keywords = {categories},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/cogsci01_final.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
Randomness and coincidences: Reconciling intuition and probability theory (pdf) (bibtex)
23rd Annual Conference of the Cognitive Science Society
#coincidences
@article{T.L.Griffiths:2001:dff20,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {23rd Annual Conference of the Cognitive Science Society},
title = {Randomness and coincidences: Reconciling intuition and probability theory},
year = {2001},
keywords = {coincidences},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/random.pdf}
}
- J. B. Tenenbaum, T. L. Griffiths:
Structure learning in human causal induction (pdf) (bibtex)
Advances in Neural Information Processing Systems 13
#causality, #structure
@article{J.B.Tenenbaum:2001:d746f,
author = {J. B. Tenenbaum and T. L. Griffiths},
journal = {Advances in Neural Information Processing Systems 13},
title = {Structure learning in human causal induction},
year = {2001},
keywords = {causality, structure},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/nips00.pdf}
}
- T. L. Griffiths, J. B. Tenenbaum:
Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future (pdf) (bibtex)
Proceedings of the 22nd Annual Conference of the Cognitive Science Society
#prediction
@article{T.L.Griffiths:2000:e6a13,
author = {T. L. Griffiths and J. B. Tenenbaum},
journal = {Proceedings of the 22nd Annual Conference of the Cognitive Science Society},
title = {Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future},
year = {2000},
keywords = {prediction},
doi = {},
url = {http://web.mit.edu/cocosci/Papers/future.pdf}
}
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