no code implementations • 20 Jan 2021 • Paul Novello, Gaël Poëtte, David Lugato, Pietro Congedo
Machine Learning (ML) is increasingly used to construct surrogate models for physical simulations.
no code implementations • 19 Jan 2021 • Paul Novello, Gaël Poëtte, David Lugato, Pietro Congedo
In the context of supervised learning of a function by a neural network, we claim and empirically verify that the neural network yields better results when the distribution of the data set focuses on regions where the function to learn is steep.
no code implementations • 1 Jan 2021 • Paul Novello, Gaël Poëtte, David Lugato, Pietro Congedo
In the context of supervised learning of a function by a Neural Network (NN), we claim and empirically justify that a NN yields better results when the distribution of the data set focuses on regions where the function to learn is steeper.