277 citations · 578 across the 5 of their papers we have counts for
5 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…
Emulation of cosmological mass maps with conditional generative adversarial networks
Nathanaël Perraudin, Sandro Marcon, Aurelien Lucchi +1
Weak gravitational lensing mass maps play a crucial role in understanding the evolution of structures in the universe and our ability to constrain cosmological models. The predicti…
Stationary signal processing on graphs
Nathanaël Perraudin, Pierre Vandergheynst
Graphs are a central tool in machine learning and information processing as they allow to conveniently capture the structure of complex datasets. In this context, it is of high imp…
Accelerated filtering on graphs using Lanczos method
Ana Susnjara, Nathanael Perraudin, Daniel Kressner +1
Signal-processing on graphs has developed into a very active field of research during the last decade. In particular, the number of applications using frames constructed from graph…
GSPBOX: A toolbox for signal processing on graphs
Nathanaël Perraudin, Johan Paratte, David Shuman +4
This document introduces the Graph Signal Processing Toolbox (GSPBox) a framework that can be used to tackle graph related problems with a signal processing approach. It explains t…