Eric Schulz

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Maarten SpeekenbrinkDepartment of Experimental Psychology, University College LondonEmail yang diverifikasi di ucl.ac.uk
Marcel BinzHelmholtz MunichEmail yang diverifikasi di helmholtz-munich.de
Charley M. WuHuman and Machine Cognition Lab, University of TübingenEmail yang diverifikasi di uni-tuebingen.de
Samuel GershmanProfessor, Harvard UniversityEmail yang diverifikasi di fas.harvard.edu
Björn MederHealth and Medical University PotsdamEmail yang diverifikasi di health-and-medical-university.de
Ishita DasguptaResearch Scientist, DeepMindEmail yang diverifikasi di google.com
Jonathan D NelsonLecturer, University of Surrey; Research Scientist, Max Planck InstituteEmail yang diverifikasi di mpib-berlin.mpg.de
Joshua B. TenenbaumMITEmail yang diverifikasi di mit.edu
Akshay K. JagadishHelmholtz MunichEmail yang diverifikasi di tuebingen.mpg.de
Tankred SaanumMax Planck Institute for Biological CyberneticsEmail yang diverifikasi di tuebingen.mpg.de
Azzurra RuggeriiSearch lab - Technical University Munich & Central European UniversityEmail yang diverifikasi di tum.de
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichEmail yang diverifikasi di helmholtz-munich.de
Andreas KrauseProfessor of Computer Science, ETH ZurichEmail yang diverifikasi di inf.ethz.ch
Edward T. CokelyPresidential Research Professor & Professor of Psychology, University of OklahomaEmail yang diverifikasi di ou.edu
Franziska BrändleUniversity of OxfordEmail yang diverifikasi di psy.ox.ac.uk
Julian Coda-FornoELLIS, Helmholtz/TUMEmail yang diverifikasi di helmholtz-munich.de
Mirta GalesicProfessor, Santa Fe Institute and Complexity Science Hub ViennaEmail yang diverifikasi di santafe.edu
Christian DoellerMax Planck SocietyEmail yang diverifikasi di cbs.mpg.de
Mirko ThalmannInstitute for Human-Centered AIEmail yang diverifikasi di helmholtz-munich.de
Mona GarvertJulius-Maximilians-University WürzburgEmail yang diverifikasi di uni-wuerzburg.de

Ikuti

Eric Schulz

Helmholtz Munich

Email yang diverifikasi di helmholtz-munich.de - Beranda

Cognitive Science Machine Learning Artificial Intelligence Natural Intelligence


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1533	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	1052	2012
Using cognitive psychology to understand GPT-3 M Binz, E Schulz Proceedings of the National Academy of Sciences 120 (6), e2218523120, 2023	593	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	295*	2018
The algorithmic architecture of exploration in the human brain E Schulz, SJ Gershman Current opinion in neurobiology 55, 7-14, 2019	202	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	179	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	172	2011
Where do hypotheses come from? I Dasgupta, E Schulz, SJ Gershman Cognitive Psychology 96, 1-25, 2017	157	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	146	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	140	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
Machine psychology T Hagendorff, I Dasgupta, M Binz, SCY Chan, A Lampinen, JX Wang, ... arXiv preprint arXiv:2303.13988, 2023	117	2023
Development of directed and random exploration in children B Meder, CM Wu, E Schulz, A Ruggeri Developmental Science, 2021	115	2021
Compositional Inductive Biases in Function Learning E Schulz, JB Tenenbaum, D Duvenaud, M Speekenbrink, SJ Gershman Cognitive Psychology 99, 44-79, 2017	112	2017
A theory of learning to infer. I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman Psychological review 127 (3), 412, 2020	111	2020
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	101	2018
Turning large language models into cognitive models M Binz, E Schulz arXiv preprint arXiv:2306.03917, 2023	97	2023
Remembrance of inferences past: Amortization in human hypothesis generation I Dasgupta, E Schulz, ND Goodman, SJ Gershman Cognition 178, 67-81, 2018	88	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	82	2022
Multi-task reinforcement learning in humans MS Tomov, E Schulz, SJ Gershman Nature Human Behaviour 5 (6), 764-773, 2021	72	2021

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