Paper "GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery" accepted at ICML Climate Change Workshop

The following paper has been accepted at ICML Climate Change Workshop at 36th International Conference on Machine Learning, Long Beach, California, 2019. 

GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery by David Dao, Catherine Cang, Clement Fung, Ming Zhang, Reuven Gonzales, Nick Beglinger, Ce Zhang.