Convolutional Denoising Autoencoders for Diagnostic Imaging

The Problem with Replicability (Motivation) Developing new methods to process experimental data is a clear motivator for incorporating ML into physics. Indeed, data from physics experiments is messy- cameras exposed to radiation, time, and neglect can develop faulty or dead pixels in the active region of their CCDs. Upgrading and replacing these devices can be costly- so costly, in fact, that it's…