2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Using Equiverent Models to Improve the Latent Space of a Network

In general, you can think of a signal that you actually can angenitive model on, but the orientation of that signal might change before the measurement. And if you have multiple pictures, these orientations are not the same, so are not alined. The main idea was, let's try to use equivariant priors so that we can solved thes whole old problem altogether.

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