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Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification


Mar 21, 2021
Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot

* Proc. IJCAI 2021, Workshop on AI for Social Good, Harvard University (2021) 
* Copyright by the authors. All rights reserved to authors only. Correspondence to: ckantor (at) stanford [dot] edu 

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Analyzing Sustainability Reports Using Natural Language Processing


Nov 03, 2020
Alexandra Luccioni, Emily Bailor, Nicolas Duchene

* Tackling Climate Change with Machine Learning workshop at NeurIPS 2020 

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Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19


Aug 13, 2020
Alexandra Luccioni, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz

* Harvard CRCS Workshop on AI for Social Good, United States, 2020 
* 4 pages, 1 figure 

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Mapping the Landscape of Artificial Intelligence Applications against COVID-19


Apr 23, 2020
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz

* 32 pages, v2: much larger to reflect the significant increase in the size of the body of literature 

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Using Simulated Data to Generate Images of Climate Change


Jan 26, 2020
Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni, Yoshua Bengio

* Proceeding ML-IRL workshop at ICLR 2020 

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On the Morality of Artificial Intelligence


Dec 26, 2019
Alexandra Luccioni, Yoshua Bengio


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Quantifying the Carbon Emissions of Machine Learning


Nov 04, 2019
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, Thomas Dandres

* Machine Learning Emissions Calculator: https://mlco2.github.io/impact/ 

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Establishing an Evaluation Metric to Quantify Climate Change Image Realism


Oct 22, 2019
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio

* Accepted to the NeurIPS 2019 Workshop, Tackling Climate Change with Machine Learning 

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Tackling Climate Change with Machine Learning


Jun 10, 2019
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, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio


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Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks


May 02, 2019
Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes, Yoshua Bengio


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