Jian-Qiao Zhu

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Adam SanbornProfessor, Department of Psychology, University of WarwickVerified email at warwick.ac.uk
nick chaterProfessor of Behavioural Science, Warwick Business SchoolVerified email at wbs.ac.uk
Jake SpicerResearch Fellow, Department of Psychology, University of WarwickVerified email at warwick.ac.uk
Joakim SundhResearcher, Uppsala UniversityVerified email at psyk.uu.se
Pablo León-VillagráBrown UniversityVerified email at ed.ac.uk
Elliot A. LudvigProfessor, Psychology, University of WarwickVerified email at warwick.ac.uk
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
R. Thomas McCoyAssistant Professor in Linguistics, Yale UniversityVerified email at yale.edu
Philip NewallUniversity of BristolVerified email at bristol.ac.uk
Johanna K. FalbénPost-Doctoral Researcher at University of AmsterdamVerified email at uva.nl
Lucas CastilloUniversity of WarwickVerified email at warwick.ac.uk
Yun-Xiao LiDepartment of Psychology, University of WarwickVerified email at warwick.ac.uk
Theodore SumersPrinceton UniversityVerified email at princeton.edu
Liyi ZhangPrinceton UniversityVerified email at princeton.edu
Erin GrantSenior Research Fellow, University College LondonVerified email at ucl.ac.uk
Haijiang YanUniversity of WarwickVerified email at pku.edu.cn
Feng XiaPrinceton UniversityVerified email at princeton.edu

Jian-Qiao Zhu

Department of Computer Science, Princeton University

Verified email at princeton.edu - Homepage

cognitive science behavioral science machine learning psychology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments. JQ Zhu, AN Sanborn, N Chater Psychological review 127 (5), 719, 2020	102	2020
Costly curiosity: People pay a price to resolve an uncertain gamble early JAMR Cabrero, JQ Zhu, EA Ludvig Behavioural Processes 160, 20-25, 2019	58	2019
Probabilistic biases meet the Bayesian brain N Chater, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, A Sanborn Current Directions in Psychological Science 29 (5), 506-512, 2020	51	2020
Mental sampling in multimodal representations JQ Zhu, AN Sanborn, N Chater Advances in Neural Information Processing Systems, 5748-5759, 2018	43	2018
Information seeking as chasing anticipated prediction errors. JQ Zhu, W Xiang, EA Ludvig Proceedings of the 39th Annual Meeting of the Cognitive Science Society …, 2017	24	2017
The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times. JQ Zhu, J Sundh, J Spicer, N Chater, AN Sanborn Psychological review, 2023	11	2023
Clarifying the relationship between coherence and accuracy in probability judgments JQ Zhu, PWS Newall, J Sundh, N Chater, AN Sanborn Cognition 223, 105022, 2022	8	2022
Perceptual and Cognitive Judgments Show Both Anchoring and Repulsion J Spicer, JQ Zhu, N Chater, AN Sanborn Psychological Science 33, 323-335, 2022	7	2022
A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean–variance signature. J Sundh, JQ Zhu, N Chater, A Sanborn Journal of Experimental Psychology: General, 2023	6*	2023
Understanding the structure of cognitive noise JQ Zhu, P León-Villagrá, N Chater, AN Sanborn PLoS computational biology 18 (8), e1010312, 2022	6	2022
Sampling as the human approximation to probabilistic inference A Sanborn, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, N Chater PsyArXiv, 2021	5	2021
How do people predict a random walk? Lessons for models of human cognition J Spicer, JQ Zhu, N Chater, A Sanborn PsyArXiv, 2022	4	2022
Cognitive variability matches speculative price dynamics JQ Zhu, J Spicer, A Sanborn, N Chater PsyArXiv, 2021	4	2021
Why decisions bias perception: An amortised sequential sampling account JQ Zhu, AN Sanborn, N Chater Proceedings of the 41th Annual Meeting of the Cognitive Science Society …, 2019	4	2019
Deep de Finetti: Recovering Topic Distributions from Large Language Models L Zhang, RT McCoy, TR Sumers, JQ Zhu, TL Griffiths arXiv preprint arXiv:2312.14226, 2023	3	2023
Noise in Cognition: Bug or Feature? A Sanborn, JQ Zhu, J Spicer, P León-Villagrá, L Castillo, J Falben, ... OSF, 2022	3	2022
Sampling as a resource-rational constraint AN Sanborn, JQ Zhu, J Spicer, N Chater Behavioral and Brain Sciences 43, 2020	3	2020
Bayesian Inference Causes Incoherence in Human Probability Judgments. JQ Zhu, A Sanborn, N Chater CogSci, 3617, 2019	3	2019
Recovering mental representations from large language models with markov chain monte carlo JQ Zhu, H Yan, TL Griffiths arXiv preprint arXiv:2401.16657, 2024	2	2024
Bayes in the age of intelligent machines TL Griffiths, JQ Zhu, E Grant, RT McCoy arXiv preprint arXiv:2311.10206, 2023	2	2023

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