most citedVisualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks

15 citations · 20 across the 3 of their papers we have counts for

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cs.LG2019★ 5 cited

Predicting ice flow using machine learning

Yimeng Min, S. Karthik Mukkavilli, Yoshua Bengio

Though machine learning has achieved notable success in modeling sequential and spatial data for speech recognition and in computer vision, applications to remote sensing and clima…

cs.LG2019

Deep learning for Aerosol Forecasting

Caleb Hoyne, S. Karthik Mukkavilli, David Meger

Reanalysis datasets combining numerical physics models and limited observations to generate a synthesised estimate of variables in an Earth system, are prone to biases against grou…