Marshall Burke

50 papers A* 14C 1Journal 31Unranked 4

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