| Rational use of cognitive resources in human planning F Callaway, B van Opheusden, S Gul, P Das, PM Krueger, TL Griffiths, ... Nature Human Behaviour 6 (8), 1112-1125, 2022 | 38 | 2022 |
| Learning cooperative personalized policies from gaze data C Gebhardt, B Hecox, B van Opheusden, D Wigdor, J Hillis, O Hilliges, ... Proceedings of the 32nd annual ACM symposium on user interface software and …, 2019 | 32 | 2019 |
| Bayesian microsaccade detection A Mihali, B van Opheusden, WJ Ma Journal of vision 17 (1), 13-13, 2017 | 30 | 2017 |
| A computational model for decision tree search. B Van Opheusden, G Galbiati, Z Bnaya, Y Li, WJ Ma CogSci, 2017 | 28 | 2017 |
| Unbiased and efficient log-likelihood estimation with inverse binomial sampling B van Opheusden, L Acerbi, WJ Ma PLoS computational biology 16 (12), e1008483, 2020 | 26 | 2020 |
| Shear shocks in fragile networks S Ulrich, N Upadhyaya, B Opheusden, V Vitelli Proceedings of the National Academy of Sciences 110 (52), 20929-20934, 2013 | 24 | 2013 |
| Revealing the impact of expertise on human planning with a two-player board game B van Opheusden, G Galbiati, I Kuperwajs, Z Bnaya, WJ Ma PsyArXiv, 2021 | 18 | 2021 |
| Tasks for aligning human and machine planning B van Opheusden, WJ Ma Current Opinion in Behavioral Sciences 29, 127-133, 2019 | 18 | 2019 |
| Human planning as optimal information seeking F Callaway, B van Opheusden, S Gul, P Das, P Krueger, F Lieder, ... Manuscript in preparation, 2021 | 17 | 2021 |
| Complex cognitive algorithms preserved by selective social learning in experimental populations B Thompson, B Van Opheusden, T Sumers, TL Griffiths Science 376 (6588), 95-98, 2022 | 14 | 2022 |
| Leveraging artificial intelligence to improve people’s planning strategies F Callaway, YR Jain, B van Opheusden, P Das, G Iwama, S Gul, ... Proceedings of the National Academy of Sciences 119 (12), e2117432119, 2022 | 12 | 2022 |
| Do people think like computers? B van Opheusden, Z Bnaya, G Galbiati, WJ Ma Computers and Games: 9th International Conference, CG 2016, Leiden, The …, 2016 | 9 | 2016 |
| Boosting human decision-making with AI-generated decision aids F Becker, J Skirzyński, B van Opheusden, F Lieder Computational Brain & Behavior, 1-24, 2022 | 7 | 2022 |
| Superhuman artificial intelligence can improve human decision-making by increasing novelty M Shin, J Kim, B van Opheusden, TL Griffiths Proceedings of the National Academy of Sciences 120 (12), e2214840120, 2023 | 6 | 2023 |
| Prospective planning and retrospective learning in a largescale combinatorial game I Kuperwajs, B van Opheusden, WJ Ma 2019 conference on cognitive computational neuroscience. berlın, alemania, 13-16, 2019 | 6 | 2019 |
| Time spent thinking in online chess reflects the value of computation E Russek, D Acosta-Kane, B van Opheusden, MG Mattar, T Griffiths PsyArXiv, 2022 | 5 | 2022 |
| The component processes of complex planning follow distinct developmental trajectories I Ma, C Phaneuf, B van Opheusden, WJ Ma, C Hartley PsyArXiv, 2022 | 1 | 2022 |
| Modeling human eye movements during immersive visual search A Radulescu, B van Opheusden, F Callaway, TL Griffiths, JM Hillis bioRxiv, 2022.12. 01.518717, 2022 | 1 | 2022 |
| Encouraging far-sightedness with automatically generated descriptions of optimal planning strategies: Potentials and limitations F Becker, JM Skirzynski, B van Opheusden, F Lieder Proceedings of the annual meeting of the cognitive science society 43 (43), 2021 | 1 | 2021 |
| From heuristic to optimal models in naturalistic visual search A Radulescu, B van Opheusden, F Callaway, T Griffiths, J Hillis Eighth International Conference on Learning Representations, April 26, 2020 | 1 | 2020 |
Wei Ji MaProfessor of Neuroscience and Psychology at New York UniversityVerified email at nyu.edu
