Luke Hewitt

About Luke Hewitt

Luke Hewitt, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine Intelligence / Cognitive Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using in-survey randomized controlled trials to support future pandemic response

How experiments help campaigns persuade voters: Evidence from a large archive of campaigns’ own experiments

Emotion prediction as computation over a generative theory of mind

Dreamcoder: growing generalizable, interpretable knowledge with wake–sleep bayesian program learning

Quantifying the potential persuasive returns to political microtargeting

Bayesian auditory scene synthesis explains human perception of illusions and everyday sounds

Estimating the persistence of party cue influence in a panel survey experiment

Rank-heterogeneous effects of political messages: Evidence from randomized survey experiments testing 59 video treatments

Luke Hewitt Information

University

Position

Department of Brain and Cognitive Sciences

Citations(all)

592

Citations(since 2020)

580

Cited By

120

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Luke Hewitt Skills & Research Interests

Machine Intelligence / Cognitive Science

Top articles of Luke Hewitt

Using in-survey randomized controlled trials to support future pandemic response

2024/1/4

Ben M Tappin
Ben M Tappin

H-Index: 9

Luke Hewitt
Luke Hewitt

H-Index: 5

How experiments help campaigns persuade voters: Evidence from a large archive of campaigns’ own experiments

2023/10

Emotion prediction as computation over a generative theory of mind

Philosophical Transactions of the Royal Society A

2023/7/24

Dreamcoder: growing generalizable, interpretable knowledge with wake–sleep bayesian program learning

Philosophical Transactions of the Royal Society A

2023/7/24

Quantifying the potential persuasive returns to political microtargeting

Proceedings of the National Academy of Sciences

2023/6/20

Bayesian auditory scene synthesis explains human perception of illusions and everyday sounds

bioRxiv

2023/4/28

Estimating the persistence of party cue influence in a panel survey experiment

Journal of Experimental Political Science

2023

Rank-heterogeneous effects of political messages: Evidence from randomized survey experiments testing 59 video treatments

2022/9

Luke Hewitt
Luke Hewitt

H-Index: 5

Ben M Tappin
Ben M Tappin

H-Index: 9

What's at stake in political messaging?

2022

Luke Hewitt
Luke Hewitt

H-Index: 5

Hybrid memoised wake-sleep: approximate inference at the discrete-continuous interface

arXiv preprint arXiv:2107.06393

2021/7/4

Dreamcoder: Bootstrapping inductive program synthesis with wake-sleep library learning

2021/6/19

Learning to learn generative programs with Memoised Wake-Sleep

2020/8/27

Luke Hewitt
Luke Hewitt

H-Index: 5

Tuan Anh Le
Tuan Anh Le

H-Index: 2

System and method for inputting images or labels into electronic devices

2020/5/26

See List of Professors in Luke Hewitt University(Massachusetts Institute of Technology)