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.