Search Results for author: S. Karthik Mukkavilli

Found 4 papers, 1 papers with code

Predicting ice flow using machine learning

no code implementations20 Oct 2019 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 climate science problems are seldom considered.

BIG-bench Machine Learning Management +3

Deep learning for Aerosol Forecasting

no code implementations14 Oct 2019 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 ground truth.

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

no code implementations2 May 2019 Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes, Yoshua Bengio

We present a project that aims to generate images that depict accurate, vivid, and personalized outcomes of climate change using Cycle-Consistent Adversarial Networks (CycleGANs).

Cannot find the paper you are looking for? You can Submit a new open access paper.