Eric Schulz

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Medforfattere

Maarten SpeekenbrinkDepartment of Experimental Psychology, University College LondonVerificeret mail på ucl.ac.uk
Marcel BinzHelmholtz MunichVerificeret mail på helmholtz-munich.de
Charley M. WuHuman and Machine Cognition Lab, University of TübingenVerificeret mail på uni-tuebingen.de
Samuel GershmanProfessor, Harvard UniversityVerificeret mail på fas.harvard.edu
Björn MederHealth and Medical University PotsdamVerificeret mail på health-and-medical-university.de
Ishita DasguptaResearch Scientist, DeepMindVerificeret mail på google.com
Jonathan D NelsonLecturer, University of Surrey; Research Scientist, Max Planck InstituteVerificeret mail på mpib-berlin.mpg.de
Joshua B. TenenbaumMITVerificeret mail på mit.edu
Azzurra RuggeriiSearch lab - Technical University Munich & Central European UniversityVerificeret mail på tum.de
Andreas KrauseProfessor of Computer Science, ETH ZurichVerificeret mail på inf.ethz.ch
Tankred SaanumMax Planck Institute for Biological CyberneticsVerificeret mail på tuebingen.mpg.de
Edward T. CokelyPresidential Research Professor & Professor of Psychology, University of OklahomaVerificeret mail på ou.edu
Akshay K. JagadishHelmholtz MunichVerificeret mail på tuebingen.mpg.de
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichVerificeret mail på helmholtz-munich.de
Franziska BrändleUniversity of OxfordVerificeret mail på psy.ox.ac.uk
Mirta GalesicProfessor, Santa Fe Institute and Complexity Science Hub ViennaVerificeret mail på santafe.edu
Christian DoellerMax Planck SocietyVerificeret mail på cbs.mpg.de
Julian Coda-FornoELLIS, Helmholtz/TUMVerificeret mail på helmholtz-munich.de
Mona GarvertJulius-Maximilians-University WürzburgVerificeret mail på uni-wuerzburg.de
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonVerificeret mail på google.com

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Eric Schulz

Helmholtz Munich

Verificeret mail på helmholtz-munich.de - Startside

Cognitive Science Machine Learning Artificial Intelligence Natural Intelligence


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	1469	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	1059	2012
Using cognitive psychology to understand GPT-3 M Binz, E Schulz Proceedings of the National Academy of Sciences 120 (6), e2218523120, 2023	554	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	292*	2018
The algorithmic architecture of exploration in the human brain E Schulz, SJ Gershman Current opinion in neurobiology 55, 7-14, 2019	194	2019
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	175	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	168	2011
Where do hypotheses come from? I Dasgupta, E Schulz, SJ Gershman Cognitive Psychology 96, 1-25, 2017	151	2017
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, 72044-72057, 2023	138	2023
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	132	2024
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	126	2019
Compositional Inductive Biases in Function Learning E Schulz, JB Tenenbaum, D Duvenaud, M Speekenbrink, SJ Gershman Cognitive Psychology 99, 44-79, 2017	113	2017
Machine psychology T Hagendorff, I Dasgupta, M Binz, SCY Chan, A Lampinen, JX Wang, ... arXiv preprint arXiv:2303.13988, 2024	110	2024
Development of directed and random exploration in children B Meder, CM Wu, E Schulz, A Ruggeri Developmental Science, 2021	109	2021
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	99	2018
A theory of learning to infer. I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman Psychological review 127 (3), 412, 2020	94	2020
Remembrance of inferences past: Amortization in human hypothesis generation I Dasgupta, E Schulz, ND Goodman, SJ Gershman Cognition 178, 67-81, 2018	85	2018
Time pressure changes how people explore and respond to uncertainty CM Wu, E Schulz, TJ Pleskac, M Speekenbrink Scientific Reports 62 (62), 62, 2022	78*	2022
Turning large language models into cognitive models M Binz, E Schulz arXiv preprint arXiv:2306.03917, 2023	76	2023
Multi-task reinforcement learning in humans MS Tomov, E Schulz, SJ Gershman Nature Human Behaviour 5 (6), 764-773, 2021	69	2021

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