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Joshua C Peterson

Showing results (1-10 of 17) with videos related to

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Cognition|September 4, 2020
Parallelograms revisited: Exploring the limitations of vector space models for simple analogiesJoshua C Peterson, Dawn Chen, Thomas L Griffiths
Cognitive Science|January 8, 2023
Extracting Low-Dimensional Psychological Representations from Convolutional Neural NetworksAditi Jha, Joshua C Peterson, Thomas L Griffiths
Proceedings of the National Academy of Sciences of the United States of America|April 4, 2020
Scaling up psychology via Scientific Regret MinimizationMayank Agrawal, Joshua C Peterson, Thomas L Griffiths
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 Griffiths
Annals of the New York Academy of Sciences|March 23, 2021
From convolutional neural networks to models of higher-level cognition (and back again)Ruairidh M Battleday, Joshua C Peterson, Thomas L Griffiths
Cognitive Science|September 5, 2018
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human RepresentationsJoshua C Peterson, Joshua T Abbott, Thomas L Griffiths
Journal of Experimental Psychology. General|February 22, 2024
The universal law of generalization holds for naturalistic stimuliRaja Marjieh, Nori Jacoby, Joshua C Peterson, et al.
Nature Human Behaviour|June 25, 2025
Capturing the complexity of human strategic decision-making with machine learningJian-Qiao Zhu, Joshua C Peterson, Benjamin Enke, et al.
Journal of Experimental Psychology. General|April 20, 2023
Stress, intertemporal choice, and mitigation behavior during the COVID-19 pandemicMayank Agrawal, Joshua C Peterson, Jonathan D Cohen, et al.
Science (New York, N.Y.)|June 11, 2021
Using large-scale experiments and machine learning to discover theories of human decision-makingJoshua C Peterson, David D Bourgin, Mayank Agrawal, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Cognition|September 4, 2020
Parallelograms revisited: Exploring the limitations of vector space models for simple analogiesJoshua C Peterson, Dawn Chen, Thomas L Griffiths
Cognitive Science|January 8, 2023
Extracting Low-Dimensional Psychological Representations from Convolutional Neural NetworksAditi Jha, Joshua C Peterson, Thomas L Griffiths
Proceedings of the National Academy of Sciences of the United States of America|April 4, 2020
Scaling up psychology via Scientific Regret MinimizationMayank Agrawal, Joshua C Peterson, Thomas L Griffiths
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 Griffiths
Annals of the New York Academy of Sciences|March 23, 2021
From convolutional neural networks to models of higher-level cognition (and back again)Ruairidh M Battleday, Joshua C Peterson, Thomas L Griffiths
Cognitive Science|September 5, 2018
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human RepresentationsJoshua C Peterson, Joshua T Abbott, Thomas L Griffiths
Journal of Experimental Psychology. General|February 22, 2024
The universal law of generalization holds for naturalistic stimuliRaja Marjieh, Nori Jacoby, Joshua C Peterson, et al.
Nature Human Behaviour|June 25, 2025
Capturing the complexity of human strategic decision-making with machine learningJian-Qiao Zhu, Joshua C Peterson, Benjamin Enke, et al.
Journal of Experimental Psychology. General|April 20, 2023
Stress, intertemporal choice, and mitigation behavior during the COVID-19 pandemicMayank Agrawal, Joshua C Peterson, Jonathan D Cohen, et al.
Science (New York, N.Y.)|June 11, 2021
Using large-scale experiments and machine learning to discover theories of human decision-makingJoshua C Peterson, David D Bourgin, Mayank Agrawal, et al.
Pageof 2