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Jian-Qiao Zhu
Jian-Qiao Zhu
Department of Computer Science, Princeton University
Verified email at princeton.edu - Homepage
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
1112020
Costly curiosity: People pay a price to resolve an uncertain gamble early
JAMR Cabrero, JQ Zhu, EA Ludvig
Behavioural Processes 160, 20-25, 2019
642019
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
542020
Mental sampling in multimodal representations
JQ Zhu, AN Sanborn, N Chater
Advances in Neural Information Processing Systems, 5748-5759, 2018
442018
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
252017
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
132023
Understanding the structure of cognitive noise
JQ Zhu, P León-Villagrá, N Chater, AN Sanborn
PLoS computational biology 18 (8), e1010312, 2022
92022
Clarifying the relationship between coherence and accuracy in probability judgments
JQ Zhu, PWS Newall, J Sundh, N Chater, AN Sanborn
Cognition 223, 105022, 2022
92022
Perceptual and Cognitive Judgments Show Both Anchoring and Repulsion
J Spicer, JQ Zhu, N Chater, AN Sanborn
Psychological Science 33, 323-335, 2022
72022
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
62023
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
How do people predict a random walk? Lessons for models of human cognition
J Spicer, JQ Zhu, N Chater, A Sanborn
PsyArXiv, 2022
52022
Sampling as the human approximation to probabilistic inference
A Sanborn, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, N Chater
PsyArXiv, 2021
52021
Noise in cognition: bug or feature?
AN Sanborn, JQ Zhu, J Spicer, P León-Villagrá, L Castillo, JK Falbén, ...
Perspectives on Psychological Science, 2024
42024
Bayes in the age of intelligent machines
TL Griffiths, JQ Zhu, E Grant, RT McCoy
arXiv preprint arXiv:2311.10206, 2023
42023
Cognitive variability matches speculative price dynamics
JQ Zhu, J Spicer, A Sanborn, N Chater
PsyArXiv, 2021
42021
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
42019
Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo
JQ Zhu, H Yan, TL Griffiths
arXiv preprint arXiv:2401.16657, 2024
32024
Sampling as a resource-rational constraint
AN Sanborn, JQ Zhu, J Spicer, N Chater
Behavioral and Brain Sciences 43, 2020
32020
Bayesian inference causes incoherence in human probability judgments
J Zhu, A Sanborn, N Chater
Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019
32019
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Articles 1–20