Anna Vaughan

Anna Vaughan

University of Cambridge

H-index: 6

Europe-United Kingdom

About Anna Vaughan

Anna Vaughan, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Machine learning, remote sensing, climate science, meteorology, wildfires.

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

Aardvark Weather: end-to-end data-driven weather forecasting

UNEP's Methane Alert and Response System (MARS): current status, new developments and case studies

Semantic segmentation of methane plumes with hyperspectral machine learning models

Sim2real for environmental neural processes

CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery

Autoregressive conditional neural processes

Active learning with convolutional gaussian neural processes for environmental sensor placement

RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

Anna Vaughan Information

University

Position

___

Citations(all)

105

Citations(since 2020)

105

Cited By

5

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Anna Vaughan Skills & Research Interests

Machine learning

remote sensing

climate science

meteorology

wildfires

Top articles of Anna Vaughan

Aardvark Weather: end-to-end data-driven weather forecasting

arXiv preprint arXiv:2404.00411

2024/3/30

UNEP's Methane Alert and Response System (MARS): current status, new developments and case studies

2024/3/7

Semantic segmentation of methane plumes with hyperspectral machine learning models

Scientific Reports

2023/11/17

Sim2real for environmental neural processes

arXiv preprint arXiv:2310.19932

2023/10/30

Anna Vaughan
Anna Vaughan

H-Index: 1

Richard E Turner
Richard E Turner

H-Index: 33

CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery

EGUsphere

2023/5/9

Autoregressive conditional neural processes

International Conference on Learning Representations (ICLR), 11th

2023/3/25

Anna Vaughan
Anna Vaughan

H-Index: 1

Richard E Turner
Richard E Turner

H-Index: 33

Active learning with convolutional gaussian neural processes for environmental sensor placement

Environmental Data Science (Climate Informatics 2023 Special Issue)

2023

RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

Scientific reports

2022/10/8

Practical conditional neural processes via tractable dependent predictions

arXiv preprint arXiv:2203.08775

2022/3/16

Anna Vaughan
Anna Vaughan

H-Index: 1

Richard E Turner
Richard E Turner

H-Index: 33

Convolutional conditional neural processes for local climate downscaling

Geoscientific Model Development

2022/1/13

Unsupervised change detection of extreme events using ML On-board

2021/12/13

Anna Vaughan
Anna Vaughan

H-Index: 1

Chris Bridges
Chris Bridges

H-Index: 2

Multivariate climate downscaling with latent neural processes

Tackling Climate Change with Machine Learning ICML Workshop

2021

Anna Vaughan
Anna Vaughan

H-Index: 1

Michael Herzog
Michael Herzog

H-Index: 5

The stationary banding complex and secondary eyewall formation in tropical cyclones

Journal of Geophysical Research: Atmospheres

2020/3/27

Anna Vaughan
Anna Vaughan

H-Index: 1

Real world and tropical cyclone world. Part II: Sensitivity of tropical cyclone formation to uniform and meridionally varying sea surface temperatures under aquaplanet conditions

Journal of Climate

2020/2

See List of Professors in Anna Vaughan University(University of Cambridge)

Co-Authors

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