Marshall Burke

Orcid: 0000-0003-4288-5858

According to our database¹, Marshall Burke authored at least 36 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Large Language Models are Geographically Biased.

[BibT_eX]

[DOI]

CoRR, 2024

2023

DiffusionSat: A Generative Foundation Model for Satellite Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

GeoLLM: Extracting Geospatial Knowledge from Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Building Coverage Estimation with Low-resolution Remote Sensing Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Using machine learning to assess the livelihood impact of electricity access.

[BibT_eX]

[DOI]

Nat., 2022

Detecting Crop Burning in India using Satellite Data.

[BibT_eX]

[DOI]

CoRR, 2022

Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2022

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding economic development in rural Africa using satellite imagery, building footprints and deep models.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Scalable deep learning to identify brick kilns and aid regulatory capacity.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2021

Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access.

[BibT_eX]

[DOI]

CoRR, 2021

Wildfire smoke plume segmentation using geostationary satellite imagery.

[BibT_eX]

[DOI]

Jeff Wen

Marshall Burke

CoRR, 2021

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Geography-Aware Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Efficient Poverty Mapping from High Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali.

[BibT_eX]

[DOI]

David B. Lobell

Stefania Di Tommaso

Calum You

Ismael Yacoubou Djima

Marshall Burke

Talip Kilic

Remote. Sens., 2020

Using satellite imagery to understand and promote sustainable development.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Livelihood Indicators from Crowdsourced Street Level Images.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Poverty Mapping using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Generating Interpretable Poverty Maps using Object Detection in Satellite Images.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Farm Parcel Delineation Using Spatio-temporal Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Interpret Satellite Images in Global Scale Using Wikipedia.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting Economic Development using Geolocated Wikipedia Articles.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Interpret Satellite Images using Wikipedia.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery.

[BibT_eX]

[DOI]

Wenjie Hu

Jay Harshadbhai Patel

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa.

[BibT_eX]

[DOI]

Remote. Sens., 2017

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Marshall Burke

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