Marshall Burke

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 48

Top Topics

Sustainable Development

Satellite Imagery

Top Venues

Publications

Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon
Large Language Models are Geographically Biased. CoRR (2024)
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. ICLR (2024)
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
DiffusionSat: A Generative Foundation Model for Satellite Imagery. ICLR (2024)
Enci Liu, Chenlin Meng, Matthew Kolodner, Eun Jee Sung, Sihang Chen, Marshall Burke, David B. Lobell, Stefano Ermon
Building Coverage Estimation with Low-resolution Remote Sensing Imagery. CoRR (2023)
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
DiffusionSat: A Generative Foundation Model for Satellite Imagery. CoRR (2023)
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. CoRR (2023)
Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. CoRR (2022)
Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta, Matthieu Stigler, Marshall Burke
Using machine learning to assess the livelihood impact of electricity access. Nat. 611 (7936) (2022)
Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. NeurIPS (2022)
Yutong He, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, Stefano Ermon
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution. CoRR (2022)
Amna Elmustafa, Erik Rozi, Yutong He, Gengchen Mai, Stefano Ermon, Marshall Burke, David B. Lobell
Understanding economic development in rural Africa using satellite imagery, building footprints and deep models. SIGSPATIAL/GIS (2022)
Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. AAAI (2022)
Kendra Walker, Ben Moscona, Kelsey Jack, Seema Jayachandran, Namrata Kala, Rohini Pande, Jiani Xue, Marshall Burke
Detecting Crop Burning in India using Satellite Data. CoRR (2022)
Jihyeon Janel Lee, Nina R. Brooks, Fahim Tajwar, Marshall Burke, Stefano Ermon, David B. Lobell, Debashish Biswas, Stephen P. Luby
Scalable deep learning to identify brick kilns and aid regulatory capacity. Proc. Natl. Acad. Sci. USA 118 (17) (2021)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. ICCV (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, Stefano Ermon
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis. CoRR (2021)
David B. Lobell, Stefania Di Tommaso, Marshall Burke, Talip Kilic
Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates. Remote. Sens. 13 (16) (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR (2021)
Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling. CoRR (2021)
Jeff Wen, Marshall Burke
Wildfire smoke plume segmentation using geostationary satellite imagery. CoRR (2021)
Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI (2021)
Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta, Matthieu Stigler, Marshall Burke
Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access. CoRR (2021)
Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. AAAI (2021)
Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David B. Lobell, Stefano Ermon
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis. NeurIPS (2021)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR (2020)
Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. CoRR (2020)
Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. CVPR Workshops (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR (2020)
David B. Lobell, Stefania Di Tommaso, Calum You, Ismael Yacoubou Djima, Marshall Burke, Talip Kilic
Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali. Remote. Sens. 12 (1) (2020)
Jihyeon Janel Lee, Dylan Grosz, Sicheng Zeng, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Crowdsourced Street Level Images. CoRR (2020)
Marshall Burke, Anne Driscoll, David B. Lobell, Stefano Ermon
Using satellite imagery to understand and promote sustainable development. CoRR (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI (2020)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. CoRR (2020)
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images using Wikipedia. IJCAI (2019)
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Economic Development using Geolocated Wikipedia Articles. KDD (2019)
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images in Global Scale Using Wikipedia. CoRR (2019)
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, David B. Lobell, Marshall Burke, Stefano Ermon
Predicting Economic Development using Geolocated Wikipedia Articles. CoRR (2019)
Rose M. Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, David B. Lobell
Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods. CVPR Workshops (2019)
Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert, Paul Novosad, Samuel Asher, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery. CoRR (2019)
Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert, Paul Novosad, Samuel Asher, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery. AIES (2019)
Anthony Perez, Swetava Ganguli, Stefano Ermon, George Azzari, Marshall Burke, David B. Lobell
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty. CoRR (2019)
Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. CoRR (2018)
Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon
Learning to Interpret Satellite Images Using Wikipedia. CoRR (2018)
Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. KDD (2018)
Zhenong Jin, George Azzari, Marshall Burke, Stephen Aston, David B. Lobell
Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa. Remote. Sens. 9 (9) (2017)
Anthony Perez, Christopher Yeh, George Azzari, Marshall Burke, David B. Lobell, Stefano Ermon
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning. CoRR (2017)
Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. AAAI (2016)
Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. CoRR (2015)