1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.comp-ph2021
Comparison of Graphcore IPUs and Nvidia GPUsfor cosmology applications
Bastien Arcelin
This paper represents the first investigation of the suitability and performance of Graphcore Intelligence Processing Units (IPUs) for deep learning applications in cosmology. It p…
cs.LG2021★ 1 cited
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
Claire Theobald, Bastien Arcelin, Frédéric Pennerath +3
Cosmic shear estimation is an essential scientific goal for large galaxy surveys. It refers to the coherent distortion of distant galaxy images due to weak gravitational lensing al…
astro-ph.IM2020
Deblending galaxies with Variational Autoencoders: a joint multi-band, multi-instrument approach
Bastien Arcelin, Cyrille Doux, Eric Aubourg +2
Blending of galaxies has a major contribution in the systematic error budget of weak lensing studies, affecting photometric and shape measurements, particularly for ground-based, d…