Publications


    J. B. Tenenbaum

      The Isomap Algorithm and Topological Stability (pdf) (bibtex)


      M. Balasubramanian, E. L. Shwartz, J. B. Tenenbaum, V. de Silva, J. C. Langford:
      Science

      Global versus local methods in nonlinear dimensionality reduction (pdf) (bibtex)


      V. de Silva, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 15.

      Bayesian models of inductive generalization (pdf) (bibtex)


      N. Sanjana, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 15.

      Theory-based induction (pdf) (bibtex)


      C. S. Kemp, J. B. Tenenbaum:
      Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.

      The role of causal models in reasoning under uncertainty (pdf) (bibtex)


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

      V1 neurons signal acquisition of an internal representation of stimulus location (pdf) (bibtex)


      J. Sharma, V. Dragoi, J. B. Tenenbaum, E. K. Miller, M. Sur:
      Science

      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.

      Learning causal laws (pdf) (bibtex)


      J. B. Tenenbaum, S. Niyogi:
      Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.

      Dynamical causal learning (pdf) (bibtex)


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

      Inferring causal networks from observations and interventions (pdf) (bibtex)


      M. Steyvers, J. B. Tenenbaum, E. J. Wagenmakers, B. Blum:
      Cognitive Science

      Theory-based causal inference (pdf) (bibtex)


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

      Learning domain structures (pdf) (bibtex)


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

      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.

      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.

      Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers (pdf) (bibtex)


      D. Sobel, J. B. Tenenbaum, A. Gopnik:
      Cognitive Science

      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

      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.

      Word learning as Bayesian inference: Evidence from preschoolers (pdf) (bibtex)


      F. Xu, J. B. Tenenbaum:
      Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.

      Integrating topics and syntax (pdf) (bibtex)


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

      The large-scale structure of semantic networks: statistical analyses and a model of semantic growth (pdf) (bibtex)


      M. Steyvers, J. B. Tenenbaum:
      Cognitive Science

      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.

      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

      Probabilistic models of cognition: Conceptual foundations (pdf) (bibtex)


      N. Chater, J. B. Tenenbaum, A. Yuille:
      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)

      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.

      Causal inference in multisensory perception (web) (bibtex)


      K. P. Kording, U. Beierholm, W. J. Ma, S. Quartz, J. B. Tenenbaum, L. Shams:
      PLoS ONE

      The role of causality in judgment under uncertainty (pdf) (bibtex)


      T. R. Krynski, J. B. Tenenbaum:
      Journal of Experimental Psychology: General 136

      The dynamics of memory are a consequence of optimal adaptation to a changing body (pdf) (bibtex)


      K. P. Kording, J. B. Tenenbaum, R. Shadmehr:
      Nature Neuroscience 10

      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

      Learning grounded causal models (pdf) (bibtex)


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

      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

      Parametric embedding for class visualization (pdf) (bibtex)


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

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


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

      Multiple timescales and uncertainty in motor adaptation. (pdf) (bibtex)


      K. Kording, J. B. Tenenbaum, R. Shadmehr:
      Advances in Neural Information Processing Systems 19

      Causal inference in sensorimotor integration. (pdf) (bibtex)


      K. Kording, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 19

      Word learning as Bayesian inference (pdf) (bibtex)


      F. Xu, J. B. Tenenbaum:
      Psychological Review 114

      Topics in semantic representation (pdf) (bibtex)


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

      Bayesian networks, Bayesian learning, and cognitive development (pdf) (bibtex)


      A. Gopnik, J. B. Tenenbaum:
      Developmental Science 10

      Sensitivity to sampling in Bayesian word learning (pdf) (bibtex)


      F. Xu, J. B. Tenenbaum:
      Developmental Science 10

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


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

      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

      Goal inference as inverse planning (pdf) (bibtex)


      C. L. Baker, J. B. Tenenbaum, R. Saxe:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
      #social cognition

      Bayesian models of human action understanding (pdf) (bibtex)


      C. L. Baker, J. B. Tenenbaum, R. Saxe:
      Advances in Neural Information Processing Systems 18
      #social cognition

      Intuitive theories of mind: A rational approach to false belief (pdf) (bibtex)


      N. D. Goodman, C. L. Baker, E. B. Bonawitz, V. K Mansinghka, A. Gopnik, H. Wellman, L. Schulz, J. B. Tenenbaum:
      Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
      #social cognition

      Secret agents: inferences about hidden causes by 10- and 12-month-old infants (pdf) (bibtex)


      R. Saxe, J. B. Tenenbaum, S. Carey:
      Psychological Science 16
      #social cognition

      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

      A Bayesian framework for cross-situational word-learning (pdf) (bibtex)


      M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 20
      #language

      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

      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

      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

      Using speakers' referential intentions to model early cross-situational word learning (pdf) (bibtex)


      M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
      Psychological Science XX
      #language

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


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

      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

      A global geometric framework for nonlinear dimensionality reduction (pdf) (bibtex)


      J. B. Tenenbaum, V. De Silva, J. C. Langford:
      Science
      #dimensionality reduction

      Separating style and content with bilinear models (pdf) (bibtex)


      J. B. Tenenbaum, W. T. Freeman:
      Neural Computation
      #singular value decomposition, #expectation-maximization

      Rules and similarity in concept learning (pdf) (bibtex)


      J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 12
      #exemplars, #rules

      Word learning as Bayesian inference (pdf) (bibtex)


      J. B. Tenenbaum, F. Xu:
      Proceedings of the 22nd Annual Conference of the Cognitive Science Society
      #language

      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

      Bayesian modeling of human concept learning (pdf) (bibtex)


      J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 11
      #concept learning

      A Bayesian Framework for Concept Learning (pdf) (bibtex)


      J. B. Tenenbaum:
      Ph.D. Thesis, MIT
      #concept learning

      Mapping a manifold of perceptual observations (pdf) (bibtex)


      J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 10
      #dimensionality reduction

      Learning the structure of similarity (pdf) (bibtex)


      J. B. Tenenbaum:
      Advances in Neural Information Processing Systems 8
      #structure, #generalization

      Discovering structure by learning sparse graphs (pdf) (bibtex)


      B. M. Lake, J. B. Tenenbaum:
      Proceedings of the 32nd Cognitive Science Conference
      #structure discovery, #semantic cognition, #unsupervised learning

      Learning Structured Generative Concepts (pdf) (bibtex)


      A. Stuhlmueller, J. B. Tenenbaum, N. D. Goodman:
      Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
      #concepts

      Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts (pdf) (bibtex)


      S. T. Piantadosi, N. D. Goodman, J. B. Tenenbaum:
      Proceedings of the 32nd Cognitive Science Conference
      #concept learning, #language

      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

      Church: a language for generative models (pdf) (bibtex)


      N. D. Goodman, V. K. Mansinghka, D. M. Roy, K. Bonawitz, J. B. Tenenbaum:
      Uncertainty in Artificial Intelligence 2008
      #church, #probabilistic programming, #generative models

      AClass: An online algorithm for generative classification (pdf) (bibtex)


      V. K. Mansinghka, D. M. Roy, R. Rifkin, J. B. Tenenbaum:
      Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS07)
      #classification, #dirichlet process mixture, #particle filter

      Discovering syntactic hierarchies (pdf) (bibtex)


      V. Savova, D. M. Roy, L. Schmidt, J. B. Tenenbaum:
      Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
      #annotated hierarchies, #stochastic blockmodels

      Exact and approximate sampling by systematic stochastic search (pdf) (bibtex)


      V. K. Mansinghka, D. M. Roy, E. Jonas, J. B. Tenenbaum:
      AISTATS 2009
      #inference

      Why blame Bob? Probabilistic generative models, counterfactual reasoning, and blame attribution (pdf) (bibtex)


      J. McCoy, T. D. Ullman, A. Stuhlmueller, T. Gerstenberg, J. B. Tenenbaum:
      Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society
      #counterfactuals, #blame attribution, #probabilistic models, #causal reasoning

      The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model (web) (bibtex)


      J. K. Hamlin, T. D. Ullman, J. B. Tenenbaum, N. D. Goodman, C. L. Baker:
      Developmental Science
      #morality, #infants, #goal inference, #theory of mind, #inverse planning

      Sticking to the evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism (pdf) (bibtex)


      E. Bonawitz, T.D. Ullman, A. Gopnik, J. B. Tenenbaum:
      IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)
      #children, #theory learning, #intuitive theories, #magnetism

      Exploiting compositionality to explore a large space of model structures (pdf) (bibtex)


      R. B. Grosse, R. Salakhutdinov, W. T. Freeman, J. B. Tenenbaum:
      Proceedings of the 28th Conference on Uncertainty in AI (UAI)
      #structure discovery, #unsupervised learning, #bayesian model

      Structure discovery in nonparametric regression through compositional kernel search (pdf) (bibtex)


      D. Duvenaud, J. R. Lloyd, R. B. Grosse, J. B. Tenenbaum, Z. Ghahramani:
      International Conference on Machine Learning
      #structure discovery, #unsupervised learning, #bayesian model

      Wins above replacement: Responsibility attributions as counterfactual replacements (pdf) (bibtex)


      T. Gerstenberg, T. D. Ullman, M. Kleiman-Weiner, D. A. Lagnado, J. B. Tenenbaum:
      Proceedings of the 36th Annual Conference of the Cognitive Science Society
      #responsibility, #attribution, #counterfactuals, #causality, #bayesian modeling, #theory of mind

      From counterfactual simulation to causal judgment (pdf) (bibtex)


      T. Gerstenberg, N. D. Goodman, D. A. Lagnado, J. B. Tenenbaum:
      Proceedings of the 36th Annual Conference of the Cognitive Science Society
      #causality, #counterfactuals, #simulation, #intuitive physics, #attribution

      A critical period for second language acquisition: Evidence from 2/3 million English speakers. (pdf) (bibtex)


      J. K. Hartshorne, J. B. Tenenbaum, S. Pinker:
      Cognition
      #language

      The causes and consequences explicit in verbs (pdf) (bibtex)


      J. K. Hartshorne, T. J. O'Donnell, J. B. Tenenbaum:
      Language, Cognition, and Neuroscience
      #language, #common sense

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