Sobolev Training for Neural Networks

Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu

Neural Information Processing Systems 

At the heart of deep learning we aim to use neural networks as function approxi-mators - training them to produce outputs from inputs in emulation of a ground truth function or data creation process.