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I ran experiments and wrote a paper aimed at providing an information-theoretic explanation for why deep learning and hierarchical Bayes modelling work. It's under review right now.

I put two PhD applications in to top departments.

I got married.

In the process I mostly learned the same lesson from my MSc: research is mostly a lot of background knowledge to acquire and legwork to do, but if you've done it right, you can address a big, difficult question by wearing it down until it's small enough to work with.



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