A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions E Schulz, M Speekenbrink, A Krause Journal of Mathematical Psychology 85, 1-16, 2018 | 1125 | 2018 |
Measuring risk literacy: The Berlin numeracy test ET Cokely, M Galesic, E Schulz, S Ghazal, R Garcia-Retamero Judgment and Decision making 7 (1), 25-47, 2012 | 972 | 2012 |
Using cognitive psychology to understand GPT-3 M Binz, E Schulz Proceedings of the National Academy of Sciences 120 (6), e2218523120, 2023 | 364 | 2023 |
Generalization guides human exploration in vast decision spaces CM Wu, E Schulz, M Speekenbrink, JD Nelson, B Meder Nature Human Behaviour 2 (12), 915-924, 2018 | 251* | 2018 |
The algorithmic architecture of exploration in the human brain E Schulz, SJ Gershman Current opinion in neurobiology 55, 7-14, 2019 | 169 | 2019 |
Persistent bias in expert judgments about free will and moral responsibility: A test of the expertise defense E Schulz, ET Cokely, A Feltz Consciousness and Cognition 20 (4), 1722-1731, 2011 | 159 | 2011 |
Searching for rewards like a child means less generalization and more directed exploration E Schulz, CM Wu, A Ruggeri, B Meder Psychological Science 30 (11), 1561–1572, 2019 | 143 | 2019 |
Where do hypotheses come from? I Dasgupta, E Schulz, SJ Gershman Cognitive Psychology 96, 1-25, 2017 | 136 | 2017 |
Structured, uncertainty-driven exploration in real-world consumer choice E Schulz, R Bhui, BC Love, B Brier, MT Todd, SJ Gershman Proceedings of the National Academy of Sciences 116 (28), 13903-13908, 2019 | 109 | 2019 |
Compositional Inductive Biases in Function Learning E Schulz, JB Tenenbaum, D Duvenaud, M Speekenbrink, SJ Gershman Cognitive Psychology 99, 44-79, 2017 | 102 | 2017 |
Putting bandits into context: How function learning supports decision making E Schulz, E Konstantinidis, M Speekenbrink Journal of Experimental Psychology: Learning, Memory, and Cognition 44, 927-943, 2018 | 89 | 2018 |
Development of directed and random exploration in children B Meder, CM Wu, E Schulz, A Ruggeri Developmental Science, 2021 | 87 | 2021 |
A theory of learning to infer. I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman Psychological review 127 (3), 412, 2020 | 79 | 2020 |
Remembrance of inferences past: Amortization in human hypothesis generation I Dasgupta, E Schulz, ND Goodman, SJ Gershman Cognition 178, 67-81, 2018 | 78 | 2018 |
In-context impersonation reveals Large Language Models' strengths and biases L Salewski, S Alaniz, I Rio-Torto, E Schulz, Z Akata Advances in Neural Information Processing Systems 36, 2024 | 73 | 2024 |
Playing repeated games with large language models E Akata, L Schulz, J Coda-Forno, SJ Oh, M Bethge, E Schulz arXiv preprint arXiv:2305.16867, 2024 | 73 | 2024 |
Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods T Hagendorff arXiv preprint arXiv:2303.13988, 2023 | 63 | 2023 |
Time pressure changes how people explore and respond to uncertainty CM Wu, E Schulz, TJ Pleskac, M Speekenbrink Scientific Reports 62 (62), 62, 2022 | 62* | 2022 |
Finding structure in multi-armed bandits E Schulz, NT Franklin, SJ Gershman Cognitive psychology 119, 101261, 2020 | 56* | 2020 |
Multi-task reinforcement learning in humans MS Tomov, E Schulz, SJ Gershman Nature Human Behaviour 5 (6), 764-773, 2021 | 54 | 2021 |