Machine Learning helps put bread on the table and infuse sanity in mi vida. At this moment, 3 things that excite me the most are:

  • Interplay between connectomics and deep learning architectures. Here's a glimpse at my nascent attempts thus far.
  • Grassmannian line packings as initialization strategy for deep-nets
  • Using graphical model priors to correct for bias in generative models

Here's a list of my previous work.

  1. KDD and Network Science
  2. Derp learning aka hot-shit these days.