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stat.ML2022
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)
Paul Novello, Gaël Poëtte, David Lugato +2
In this paper, we are interested in the acceleration of numerical simulations. We focus on a hypersonic planetary reentry problem whose simulation involves coupling fluid dynamics…
stat.ML2022
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning
Paul Novello, Gaël Poëtte, David Lugato +1
Tackling new machine learning problems with neural networks always means optimizing numerous hyperparameters that define their structure and strongly impact their performances. In…
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…