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

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Large Language Models are Geographically Biased.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

GeoLLM: Extracting Geospatial Knowledge from Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiffusionSat: A Generative Foundation Model for Satellite Imagery.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Building Coverage Estimation with Low-resolution Remote Sensing Imagery.
CoRR, 2023

2022
Using machine learning to assess the livelihood impact of electricity access.
Nat., 2022

Detecting Crop Burning in India using Satellite Data.
CoRR, 2022

Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution.
CoRR, 2022

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery.
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.
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.
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.
Remote. Sens., 2021

Scalable deep learning to identify brick kilns and aid regulatory capacity.
Proc. Natl. Acad. Sci. USA, 2021

Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access.
CoRR, 2021

Wildfire smoke plume segmentation using geostationary satellite imagery.
CoRR, 2021

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning.
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.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Geography-Aware Self-Supervised Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Efficient Poverty Mapping from High Resolution Remote Sensing Images.
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.
Remote. Sens., 2020

Using satellite imagery to understand and promote sustainable development.
CoRR, 2020

Predicting Livelihood Indicators from Crowdsourced Street Level Images.
CoRR, 2020

Efficient Poverty Mapping using Deep Reinforcement Learning.
CoRR, 2020

Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks.
CoRR, 2020

Generating Interpretable Poverty Maps using Object Detection in Satellite Images.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Farm Parcel Delineation Using Spatio-temporal Convolutional Networks.
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.
CoRR, 2019

Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty.
CoRR, 2019

Predicting Economic Development using Geolocated Wikipedia Articles.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Interpret Satellite Images using Wikipedia.
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.
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.
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.
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.
Remote. Sens., 2017

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning.
CoRR, 2017

2016
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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