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Simulating sampling algorithms with people has proven a useful method for efficiently probing and understanding their mental representations.
“Theory and methods of scaling.”
Warren Torgerson · 1958
Earlier work this paper cites.
“Theory and methods of scaling.”
Warren Torgerson · 1958
Earlier work this paper cites.
“Monte Carlo Calculations of the Radial Distribution Functions for a Proton-Electron Plasma”
A.. Barker · 1965
Earlier work this paper cites.
“Monte Carlo Calculations of the Radial Distribution Functions for a Proton-Electron Plasma”
A.. Barker · 1965
Earlier work this paper cites.
“Additive clustering: Representation of similarities as combinations of discrete overlapping properties.”
Roger Shepard and Phipps Arabie · 1979
Earlier work this paper cites.
“Additive clustering: Representation of similarities as combinations of discrete overlapping properties.”
Roger Shepard and Phipps Arabie · 1979
Earlier work this paper cites.
“Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images”
Stuart Geman and Donald Geman · 1984
Earlier work this paper cites.
“Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images”
Stuart Geman and Donald Geman · 1984
Earlier work this paper cites.
“Inference from Iterative Simulation Using Multiple Sequences”
Andrew Gelman and Donald. Rubin · 1992
Earlier work this paper cites.
“Inference from Iterative Simulation Using Multiple Sequences”
Andrew Gelman and Donald. Rubin · 1992
Earlier work this paper cites.
“Markov Chain Monte Carlo with People”
A.. Sanborn and T.. Griffiths · 2007
Earlier work this paper cites.
“Markov Chain Monte Carlo with People”
A.. Sanborn and T.. Griffiths · 2007
Earlier work this paper cites.
“The world color survey”
Paul Kay et al · 2009
Earlier work this paper cites.
“The world color survey”
Paul Kay et al · 2009
Earlier work this paper cites.
“Uncovering mental representations with Markov chain Monte Carlo”
A.. Sanborn, T.. Griffiths and R.. Shiffrin · 2010
Earlier work this paper cites.
“Uncovering mental representations with Markov chain Monte Carlo”
A.. Sanborn, T.. Griffiths and R.. Shiffrin · 2010
Earlier work this paper cites.
“Church: a language for generative models”
Noah Goodman et al · 2012
Cited alongside, same era.
“Testing the Efficiency of Markov Chain Monte Carlo With People Using Facial Affect Categories”
Jay. Martin, Thomas. Griffiths and Adam. Sanborn · 2012
Cited alongside, same era.
“Church: a language for generative models”
Noah Goodman et al · 2012
Cited alongside, same era.
“Testing the Efficiency of Markov Chain Monte Carlo With People Using Facial Affect Categories”
Jay. Martin, Thomas. Griffiths and Adam. Sanborn · 2012
Cited alongside, same era.
“The No-U-Turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo.”
Matthew Hoffman and Andrew Gelman · 2014
Cited alongside, same era.
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Simon Kornblith, Mohammad Norouzi, Honglak Lee and Geoffrey Hinton · 2019
Later among the works it cites.
“Gibbs Sampling with People”
Peter Harrison et al · 2020
Later among the works it cites.
“Gibbs Sampling with People”
Peter Harrison et al · 2020
Later among the works it cites.
“Probing classifiers: Promises, shortcomings, and advances”
Yonatan Belinkov · 2022
Later among the works it cites.
“Probing classifiers: Promises, shortcomings, and advances”
Yonatan Belinkov · 2022
Later among the works it cites.
“Sparks of artificial general intelligence: Early experiments with GPT-4”
Sébastien Bubeck et al · 2023
Later among the works it cites.
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“The No-U-Turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo.”
Matthew Hoffman and Andrew Gelman · 2014
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“Deep learning”
Yann LeCun, Yoshua Bengio and Geoffrey Hinton · 2015
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Yann LeCun, Yoshua Bengio and Geoffrey Hinton · 2015
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Guillaume Alain and Yoshua Bengio · 2016
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“Understanding intermediate layers using linear classifier probes”
Guillaume Alain and Yoshua Bengio · 2016
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“A conceptual introduction to Hamiltonian Monte Carlo”
Michael Betancourt · 2017
Cited alongside, same era.
“Attention is all you need”
Ashish Vaswani et al · 2017
Cited alongside, same era.
“GPT is an effective tool for multilingual psychological text analysis”
Steve Rathje et al · 2023
Later among the works it cites.
Lionel Wong et al · 2023
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“Grounded physical language understanding with probabilistic programs and simulated worlds”
Cedegao Zhang, Lionel Wong, Gabriel Grand and Joshua Tenenbaum · 2023
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“Deep de Finetti: Recovering Topic Distributions from Large Language Models”
Liyi Zhang et al · 2023
Later among the works it cites.
“Sparks of artificial general intelligence: Early experiments with GPT-4”
Sébastien Bubeck et al · 2023
Later among the works it cites.
“GPT is an effective tool for multilingual psychological text analysis”
Steve Rathje et al · 2023
Later among the works it cites.
Lionel Wong et al · 2023
Later among the works it cites.
“Grounded physical language understanding with probabilistic programs and simulated worlds”
Cedegao Zhang, Lionel Wong, Gabriel Grand and Joshua Tenenbaum · 2023
Later among the works it cites.
“Deep de Finetti: Recovering Topic Distributions from Large Language Models”
Liyi Zhang et al · 2023
Later among the works it cites.