Year |
Citation |
Score |
2023 |
Binz M, Dasgupta I, Jagadish AK, Botvinick M, Wang JX, Schulz E. Meta-Learned Models of Cognition. The Behavioral and Brain Sciences. 1-38. PMID 37994495 DOI: 10.1017/S0140525X23003266 |
0.319 |
|
2023 |
Giron AP, Ciranka S, Schulz E, van den Bos W, Ruggeri A, Meder B, Wu CM. Developmental changes in exploration resemble stochastic optimization. Nature Human Behaviour. PMID 37591981 DOI: 10.1038/s41562-023-01662-1 |
0.301 |
|
2023 |
Wu S, Éltető N, Dasgupta I, Schulz E. Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. Scientific Reports. 13: 7680. PMID 37169785 DOI: 10.1038/s41598-023-31500-3 |
0.353 |
|
2023 |
Binz M, Schulz E. Using cognitive psychology to understand GPT-3. Proceedings of the National Academy of Sciences of the United States of America. 120: e2218523120. PMID 36730192 DOI: 10.1073/pnas.2218523120 |
0.331 |
|
2022 |
Wu CM, Schulz E, Pleskac TJ, Speekenbrink M. Time pressure changes how people explore and respond to uncertainty. Scientific Reports. 12: 4122. PMID 35260717 DOI: 10.1038/s41598-022-07901-1 |
0.643 |
|
2022 |
Binz M, Gershman SJ, Schulz E, Endres D. Heuristics from bounded meta-learned inference. Psychological Review. PMID 34990160 DOI: 10.1037/rev0000330 |
0.382 |
|
2021 |
Tomov MS, Schulz E, Gershman SJ. Multi-task reinforcement learning in humans. Nature Human Behaviour. PMID 33510391 DOI: 10.1038/s41562-020-01035-y |
0.433 |
|
2020 |
Schulz E, Dayan P. Computational Psychiatry for Computers. Iscience. 23: 101772. PMID 33294781 DOI: 10.1016/j.isci.2020.101772 |
0.372 |
|
2020 |
Wu CM, Schulz E, Speekenbrink M, Nelson JD, Meder B. Author Correction: Generalization guides human exploration in vast decision spaces. Nature Human Behaviour. PMID 33097919 DOI: 10.1038/s41562-020-00958-w |
0.624 |
|
2020 |
Wu CM, Schulz E, Garvert MM, Meder B, Schuck NW. Similarities and differences in spatial and non-spatial cognitive maps. Plos Computational Biology. 16: e1008149. PMID 32903264 DOI: 10.1371/Journal.Pcbi.1008149 |
0.45 |
|
2020 |
Dasgupta I, Schulz E, Tenenbaum JB, Gershman SJ. A theory of learning to infer. Psychological Review. 127: 412-441. PMID 32223286 DOI: 10.1037/Rev0000178 |
0.413 |
|
2020 |
Stojić H, Schulz E, P Analytis P, Speekenbrink M. It's new, but is it good? How generalization and uncertainty guide the exploration of novel options. Journal of Experimental Psychology. General. 149: 1878-1907. PMID 32191080 DOI: 10.1037/Xge0000749 |
0.707 |
|
2020 |
Schulz E, Franklin NT, Gershman SJ. Finding structure in multi-armed bandits. Cognitive Psychology. 119: 101261. PMID 32059133 DOI: 10.1016/J.Cogpsych.2019.101261 |
0.554 |
|
2020 |
Wu CM, Schulz E, Gershman SJ. Inference and Search on Graph-Structured Spaces Computational Brain & Behavior. 4: 125-147. DOI: 10.1007/s42113-020-00091-x |
0.411 |
|
2019 |
Schulz E, Wu CM, Ruggeri A, Meder B. Searching for Rewards Like a Child Means Less Generalization and More Directed Exploration. Psychological Science. 956797619863663. PMID 31652093 DOI: 10.1177/0956797619863663 |
0.314 |
|
2019 |
Schulz E, Bhui R, Love BC, Brier B, Todd MT, Gershman SJ. Structured, uncertainty-driven exploration in real-world consumer choice. Proceedings of the National Academy of Sciences of the United States of America. PMID 31235598 DOI: 10.1073/Pnas.1821028116 |
0.5 |
|
2018 |
Wu CM, Schulz E, Speekenbrink M, Nelson JD, Meder B. Generalization guides human exploration in vast decision spaces. Nature Human Behaviour. 2: 915-924. PMID 30988442 DOI: 10.1038/S41562-018-0467-4 |
0.696 |
|
2018 |
Schulz E, Gershman SJ. The algorithmic architecture of exploration in the human brain. Current Opinion in Neurobiology. 55: 7-14. PMID 30529148 DOI: 10.1016/J.Conb.2018.11.003 |
0.463 |
|
2018 |
Schulz E, Wu CM, Huys QJM, Krause A, Speekenbrink M. Generalization and Search in Risky Environments. Cognitive Science. PMID 30390325 DOI: 10.1111/Cogs.12695 |
0.698 |
|
2018 |
Dasgupta I, Schulz E, Goodman ND, Gershman SJ. Remembrance of inferences past: Amortization in human hypothesis generation. Cognition. 178: 67-81. PMID 29793110 DOI: 10.1016/J.Cognition.2018.04.017 |
0.351 |
|
2018 |
Schulz E, Speekenbrink M, Krause A. A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions Journal of Mathematical Psychology. 85: 1-16. DOI: 10.1016/J.Jmp.2018.03.001 |
0.65 |
|
2017 |
Schulz E, Tenenbaum JB, Duvenaud D, Speekenbrink M, Gershman SJ. Compositional inductive biases in function learning. Cognitive Psychology. 99: 44-79. PMID 29154187 DOI: 10.1016/J.Cogpsych.2017.11.002 |
0.663 |
|
2017 |
Schulz E, Konstantinidis E, Speekenbrink M. Putting Bandits Into Context: How Function Learning Supports Decision Making. Journal of Experimental Psychology. Learning, Memory, and Cognition. PMID 29130693 DOI: 10.1037/Xlm0000463 |
0.709 |
|
2017 |
Dasgupta I, Schulz E, Gershman SJ. Where do hypotheses come from? Cognitive Psychology. 96: 1-25. PMID 28586634 DOI: 10.1016/J.Cogpsych.2017.05.001 |
0.377 |
|
2016 |
Schulz E, Huys QJM, Bach DR, Speekenbrink M, Krause A. Better safe than sorry: Risky function exploitation through safe optimization Cognitive Science. 1140-1145. DOI: 10.5167/Uzh-134707 |
0.672 |
|
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