| The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments. JQ Zhu, AN Sanborn, N Chater Psychological review 127 (5), 719, 2020 | 127 | 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 | 73 | 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 | 65 | 2020 |
| Mental sampling in multimodal representations JQ Zhu, AN Sanborn, N Chater Advances in Neural Information Processing Systems, 5748-5759, 2018 | 45 | 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 | 25 | 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 131 (2), 456, 2024 | 18 | 2024 |
| Understanding the structure of cognitive noise JQ Zhu, P León-Villagrá, N Chater, AN Sanborn PLoS computational biology 18 (8), e1010312, 2022 | 11 | 2022 |
| Clarifying the relationship between coherence and accuracy in probability judgments JQ Zhu, PWS Newall, J Sundh, N Chater, AN Sanborn Cognition 223, 105022, 2022 | 11 | 2022 |
| Bayes in the age of intelligent machines TL Griffiths, JQ Zhu, E Grant, R Thomas McCoy Current Directions in Psychological Science 33 (5), 283-291, 2024 | 9 | 2024 |
| 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 | 9* | 2023 |
| Perceptual and Cognitive Judgments Show Both Anchoring and Repulsion J Spicer, JQ Zhu, N Chater, AN Sanborn Psychological Science 33, 323-335, 2022 | 9 | 2022 |
| Noise in cognition: bug or feature? AN Sanborn, JQ Zhu, J Spicer, P León-Villagrá, L Castillo, JK Falbén, ... Perspectives on Psychological Science, 2024 | 7 | 2024 |
| Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo JQ Zhu, H Yan, TL Griffiths arXiv preprint arXiv:2401.16657, 2024 | 6 | 2024 |
| 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 | 6 | 2023 |
| Sampling as the human approximation to probabilistic inference A Sanborn, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, N Chater PsyArXiv, 2021 | 6 | 2021 |
| How do people predict a random walk? Lessons for models of human cognition. J Spicer, JQ Zhu, N Chater, AN Sanborn Psychological Review, 2024 | 5 | 2024 |
| Capturing the complexity of human strategic decision-making with machine learning JQ Zhu, JC Peterson, B Enke, TL Griffiths arXiv preprint arXiv:2408.07865, 2024 | 4 | 2024 |
| Incoherent Probability Judgments in Large Language Models JQ Zhu, TL Griffiths arXiv preprint arXiv:2401.16646, 2024 | 4 | 2024 |
| 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 |
Adam SanbornProfessor, Department of Psychology, University of Warwickwarwick.ac.uk의 이메일 확인됨