Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence
Convolutional neural networks are used to solve the outstanding problem of heat flux prediction in turbulent oceanic flows.
Machine Learning
Unsupervised machine learning for data encoding applied to ovarian cancer transcriptomes
We use variational autoencoders to compressed ovarian cancer transcriptomes and extract genetic markers predictive of chemotherapy resistance.