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Nature Communications|October 28, 2020
Capturing human categorization of natural images by combining deep networks and cognitive modelsRuairidh M Battleday, Joshua C Peterson, Thomas L GriffithsCognitive Science|October 16, 2020
Assessing Mathematics Misunderstandings via Bayesian Inverse PlanningAnna N Rafferty, Rachel A Jansen, Thomas L GriffithsPsychological Science|October 25, 2023
Rational Simplification and Rigidity in Human PlanningMark K Ho, Jonathan D Cohen, Thomas L GriffithsJournal of Experimental Psychology. General|December 3, 2020
Recommendation as generalization: Using big data to evaluate cognitive modelsDavid D Bourgin, Joshua T Abbott, Thomas L GriffithsOpen Mind : Discoveries in Cognitive Science|November 28, 2022
A Pragmatic Account of the Weak Evidence EffectSamuel A Barnett, Thomas L Griffiths, Robert D HawkinsCognition|May 23, 2022
Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication taskSonia K Murthy, Thomas L Griffiths, Robert D HawkinsPsychological Review|October 21, 2009
The influence of categories on perception: explaining the perceptual magnet effect as optimal statistical inferenceNaomi H Feldman, Thomas L Griffiths, James L MorganPsychological Review|November 3, 2010
Rational approximations to rational models: alternative algorithms for category learningAdam N Sanborn, Thomas L Griffiths, Daniel J NavarroPsychological Review|March 6, 2013
Reconciling intuitive physics and Newtonian mechanics for colliding objectsAdam N Sanborn, Vikash K Mansinghka, Thomas L GriffithsCognitive Psychology|August 4, 2014
Win-Stay, Lose-Sample: a simple sequential algorithm for approximating Bayesian inferenceElizabeth Bonawitz, Stephanie Denison, Alison Gopnik, et al.Pageof 21