| 2020 | CogSci | Birds and Words: Exploring environmental influences on folk categorization. | Joshua T. Abbott, Charles Kemp |
| 2018 | CogSci | Recommendation as Generalization: Evaluating Cognitive Models In the Wild. | David Bourgin, Joshua T. Abbott, Tom Griffiths |
| 2017 | IJCAI | Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report. | Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths |
| 2016 | CogSci | Adapting Deep Network Features to Capture Psychological Representations. | Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths |
| 2014 | CogSci | Empirical Evidence for Markov Chain Monte Carlo in Memory Search. | David Bourgin, Joshua T. Abbott, Thomas L. Griffiths, Kevin A. Smith, Ed Vul |
| 2013 | CogSci | Approximating Bayesian inference with a sparse distributed memory system. | Joshua T. Abbott, Jessica B. Hamrick, Thomas L. Griffiths |
| 2012 | CogSci | Constructing a hypothesis space from the Web for large-scale Bayesian word learning. | Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths |
| 2012 | CogSci | Predicting focal colors with a rational model of representativeness. | Joshua T. Abbott, Terry Regier, Thomas L. Griffiths |
| 2011 | CogSci | Exploring the influence of particle filter parameters on order effects in causal learning. | Joshua T. Abbott, Thomas L. Griffiths |