Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series

no code implementations • 11 Jan 2021 • Antoine Garcon, Julian Vexler, Dmitry Budker, Stefan Kramer

We show that, because DNNs can find useful abstract feature representations, they can be used when prior knowledge about the signal-generating process exists, but is not complete, as it is particularly the case in "new-physics" searches.

Denoising regression +2