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Climate Change

A General-Purpose Neural Architecture for Geospatial Systems
A General-Purpose Neural Architecture for Geospatial Systems
Geospatial Information Systems are used by researchers and Humanitarian Assistance and Disaster Response (HADR) practitioners to …
Workshop at the Neural Information Processing Systems (NeurIPS),  2022.
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Tackling Climate Change with Machine Learning
Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here …
ACM Computing Surveys,  2022.
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Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to …
Workshop at the Neural Information Processing Systems (NeurIPS),  2021.
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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use …
International Conference on Computer Vision (ICCV),  2021.
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Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide. In addition to the methane emitted due to their digestive …
Workshop at the Neural Information Processing Systems (NeurIPS),  2020.
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Estimating Carbon Emissions of Artificial Intelligence [Opinion]
Estimating Carbon Emissions of Artificial Intelligence [Opinion]
The authors believe that tracking and communicating the environmental impact of ML should be a key part of the research and development …
IEEE Technology and Society Magazine,  2020.
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Tackling Climate Change with Machine Learning
Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here …
Workshop at the Neural Information Processing Systems (NeurIPS),  2019.
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Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
From an environmental standpoint, there are a few crucial aspects of training a neural network that have a major impact on the quantity …
ArXiv,  2019.
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Learning Global Variations in Outdoor PM_2.5 Concentrations with Satellite Images
Here we present a new method of estimating global variations in outdoor PM2.5 concentrations using satellite images combined with …
Workshop at the International Conference on Machine Learning (ICML),  2019.
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