GradINN: Gradient Informed Neural Network

Filippo Aglietti, Francesco Della Santa, Andrea Piano +1

We propose Gradient Informed Neural Networks (GradINNs), a methodology inspired by Physics Informed Neural Networks (PINNs) that can be used to efficiently approximate a wide range…