1 citations · 2 across the 3 of their papers we have counts for
3 papers
MeltpoolINR: Predicting temperature field, melt pool geometry, and their rate of change in laser powder bed fusion
Manav Manav, Nathanael Perraudin, Yunong Lin +4
We present a data-driven, differentiable neural network model designed to learn the temperature field, its gradient, and the cooling rate, while implicitly representing the melt po…
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization
Nathanaël Perraudin, Adrien Teutrie, Cécile Hébert +1
We consider the problem of regularized Poisson Non-negative Matrix Factorization (NMF) problem, encompassing various regularization terms such as Lipschitz and relatively smooth fu…
An evaluation of deep learning models for predicting water depth evolution in urban floods
Stefania Russo, Nathanaël Perraudin, Steven Stalder +4
In this technical report we compare different deep learning models for prediction of water depth rasters at high spatial resolution. Efficient, accurate, and fast methods for water…