Fixed Integral Neural Networks

Understand

It is often useful to perform integration over learned functions represented by neural networks.

• However, this integration is usually performed numerically, as analytical integration over learned functions (especially neural networks) is generally viewed as intractable.
• In this work, we present a method for representing the analytical integral of a learned function $f$.
• This allows the exact integral of a neural network to be computed, and enables constrained neural networks to be parametrised by applying constraints directly to the integral.