Luke Hewitt - Concepedia

Author

Luke Hewitt

Massachusetts Institute of Technology ORCID

Also Known As

Hewitt, Luke, Hewitt, Luke B., LUKE HEWITT, Luke B Hewitt, Luke B. Hewitt, Luke Hewitt

Publications

509

Citations

H-Index

Concepts

All Affiliations

Massachusetts Institute of Technology Cornell University Collège de France Royal Holloway University of London Stanford University

About

Luke Hewitt is an author at Massachusetts Institute of Technology specializing in artificial intelligence, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	184
2	Social Sciences	3	3	80
3	Cognitive Science	3	3	77
4	Management	2	2	70
5	Arts	1	1	10

Luke Hewitt

Publications

436

Citations

H-Index

Page 1

	Year	Citations
DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning Kevin Ellis, Lionel Wong, Maxwell Nye, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences	2023	100
DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning Kevin Ellis, Catherine Wong, Maxwell Nye, Artificial IntelligenceEngineeringMachine LearningData ScienceAi Planning	2021	89
Quantifying the potential persuasive returns to political microtargeting Ben M Tappin, Chloe Wittenberg, Luke Hewitt, Proceedings of the National Academy of Sciences	2023	61
How Experiments Help Campaigns Persuade Voters: Evidence from a Large Archive of Campaigns’ Own Experiments Luke Hewitt, David Broockman, Alexander Coppock, American Political Science Review Large ArchiveBehavioral Decision MakingAdvertising ExperimentsPublic OpinionPolitical Behavior	2024	36
Emotion prediction as computation over a generative theory of mind Sean Dae Houlihan, Max Kleiman‐Weiner, Luke Hewitt, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences Artificial IntelligenceBehavioral Decision MakingAffective NeuroscienceCognitionJudgmental Forecasting	2023	34
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis, Catherine Wong, Maxwell Nye, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningNeural NetworkPresent Dreamcoder	2020	33
Learning to Infer Program Sketches Maxwell Nye, Luke Hewitt, Joshua B. Tenenbaum, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningInfer Program SketchesSketch-based Modeling	2019	32
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke Hewitt, Maxwell Nye, Andreea Gane, arXiv (Cornell University) Artificial IntelligenceHierarchical Bayesian MethodsGenerative SystemEngineeringMachine Learning	2018	30
Quantifying the Potential Persuasive Returns to Political Microtargeting Ben M Tappin, Chloe Wittenberg, Luke Hewitt,	2022	11
Estimating the Persistence of Party Cue Influence in a Panel Survey Experiment Ben M Tappin, Luke Hewitt Journal of Experimental Political Science Behavioral Decision MakingPolitical ProcessSocial InfluencePublic OpinionPolitical Polarization	2021	10

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