I am currently working on an autoencoder that connect two images. The first one can be seen as the electron flow and the second one is the electrostatic potential seen by the electrons. Long story short, the neural network connects those pairs of images that are very different but related by physical law. I have already something working, but I have a hard time trying to find similar kinds of application of neural networks. Most of the time an autoencoder connect images that are very similar (denoising for example). My two questions are the following:
Are you aware of other similar application of autoencoder?
What methods can I use to explain the working procedure of my neural networks? (In the literature the methods concerne mainly classification tasks.)