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Climate Change
ServiceNow Research
Climate Change
A General-Purpose Neural Architecture for Geospatial Systems
Geospatial Information Systems are used by researchers and Humanitarian Assistance and Disaster Response (HADR) practitioners to …
Alexandre Lacoste
,
Martin Weiss
,
Nasim Rahaman
Workshop at the Neural Information Processing Systems (NeurIPS), 2022.
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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 …
David Rolnick
,
Priya L. Donti
,
Lynn H. Kaack
,
Kelly Kochanski
,
Alexandre Lacoste
,
Kris Sankaran
,
Andrew Slavin Ross
,
Nikola Milojevic-Dupont
,
Natasha Jaques
,
Anna Waldman-Brown
,
Alexandra Luccioni
,
Tegan Maharaj
,
S. Karthik Mukkavilli
,
Konrad P. Kording
,
Carla Gomes
,
Andrew Y. Ng
,
Demis Hassabis
,
John C. Platt
,
Felix Creutzig
,
Jennifer Chayes
,
Yoshua Bengio
,
Evan D. Sherwin
ACM Computing Surveys, 2022.
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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 …
Alexandre Lacoste
,
Hannah Kerner
,
Hamed Alemohammad
,
Björn Lütjens
,
Jeremy Irvin
,
David Dao
,
Alex Chang
,
Mehmet Gunturkun
,
Alexandre Drouin
,
Pau Rodriguez
,
David Vazquez
,
Evan D. Sherwin
Workshop at the Neural Information Processing Systems (NeurIPS), 2021.
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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 …
Oscar Manas
,
Alexandre Lacoste
,
Xavier Giro-i-Nieto
,
David Vazquez
,
Pau Rodriguez
International Conference on Computer Vision (ICCV), 2021.
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Code
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 …
Issam H. Laradji
,
Pau Rodriguez
,
Alfredo Kalaitzis
,
David Vazquez
,
Ross Young
,
Ed Davey
,
Alexandre Lacoste
Workshop at the Neural Information Processing Systems (NeurIPS), 2020.
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Code
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 …
Alexandra Luccioni
,
Alexandre Lacoste
,
victor schmidt
IEEE Technology and Society Magazine, 2020.
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Code
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 …
David Rolnick
,
Priya L. Donti
,
Lynn H. Kaack
,
Kelly Kochanski
,
Alexandre Lacoste
,
Kris Sankaran
,
Andrew Slavin Ross
,
Nikola Milojevic-Dupont
,
Natasha Jaques
,
Anna Waldman-Brown
,
Alexandra Luccioni
,
Tegan Maharaj
,
S. Karthik Mukkavilli
,
Konrad P. Kording
,
Carla Gomes
,
Andrew Y. Ng
,
Demis Hassabis
,
John C. Platt
,
Felix Creutzig
,
Jennifer Chayes
,
Yoshua Bengio
,
Evan D. Sherwin
Workshop at the Neural Information Processing Systems (NeurIPS), 2019.
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Cite
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 …
Alexandre Lacoste
,
Alexandra Luccioni
,
victor schmidt
,
Thomas Dandres
ArXiv, 2019.
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Code
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 …
Yukai (Kris) Hong
,
Pedro O. Pinheiro
,
Scott Weichenthal
Workshop at the International Conference on Machine Learning (ICML), 2019.
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