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ORCIDMarshall Burke
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2020 – today
- 2024
[c19]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- [c18]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. ICLR 2024 - [c17]Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon:
Large Language Models are Geographically Biased. ICML 2024 - [i26]Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon:
Large Language Models are Geographically Biased. CoRR abs/2402.02680 (2024) - 2023
- [i25]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 abs/2301.01449 (2023) - [i24]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. CoRR abs/2310.06213 (2023) - [i23]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 abs/2312.03606 (2023) - 2022
- [j5]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): 491-495 (2022) - [c16]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: 12034-12042 - [c15]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: 89:1-89:4 - [c14]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 - [i22]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 abs/2204.01736 (2022) - [i21]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 abs/2207.08051 (2022) - [i20]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 abs/2209.10148 (2022) - 2021
- [j4]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): e2018863118 (2021) - [j3]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): 3160 (2021) - [c13]Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI 2021: 12-20 - [c12]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: 268-276 - [c11]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. ICCV 2021: 10161-10170 - [c10]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: 27903-27915 - [c9]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 - [i19]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 abs/2106.11485 (2021) - [i18]Jeff Wen, Marshall Burke:
Wildfire smoke plume segmentation using geostationary satellite imagery. CoRR abs/2109.01637 (2021) - [i17]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 abs/2109.02890 (2021) - [i16]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 abs/2111.04724 (2021) - [i15]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 abs/2112.09126 (2021) - 2020
- [j2]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): 100 (2020) - [c8]Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. CVPR Workshops 2020: 340-349 - [c7]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI 2020: 4410-4416 - [i14]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR abs/2002.01612 (2020) - [i13]Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. CoRR abs/2004.05471 (2020) - [i12]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR abs/2006.04224 (2020) - [i11]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 abs/2006.08661 (2020) - [i10]Marshall Burke, Anne Driscoll, David B. Lobell, Stefano Ermon:
Using satellite imagery to understand and promote sustainable development. CoRR abs/2010.06988 (2020) - [i9]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. CoRR abs/2011.09980 (2020)
2010 – 2019
- 2019
- [c6]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: 353-359 - [c5]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: 75-82 - [c4]Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images using Wikipedia. IJCAI 2019: 3620-3626 - [c3]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: 2698-2706 - [i8]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 abs/1902.11110 (2019) - [i7]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 abs/1905.01627 (2019) - [i6]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 abs/1905.02196 (2019) - [i5]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 abs/1905.02506 (2019) - 2018
- [c2]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: 616-625 - [i4]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 abs/1806.00894 (2018) - [i3]Evan Sheehan, Burak Uzkent, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images Using Wikipedia. CoRR abs/1809.10236 (2018) - 2017
- [j1]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): 931 (2017) - [i2]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 abs/1711.03654 (2017) - 2016
- [c1]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: 3929-3935 - 2015
- [i1]Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon:
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. CoRR abs/1510.00098 (2015)
Coauthor Index
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