7 citations · 11 across the 6 of their papers we have counts for
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physics.comp-ph2021
A Taylor Based Sampling Scheme for Machine Learning in Computational Physics
Paul Novello, Gaël Poëtte, David Lugato +1
Machine Learning (ML) is increasingly used to construct surrogate models for physical simulations. We take advantage of the ability to generate data using numerical simulations pro…
stat.ML2021★ 1 cited
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning
Paul Novello, Gaël Poëtte, David Lugato +1
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…