46 citations · 108 across the 5 of their papers we have counts for
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astro-ph.IM2021★ 1 cited
SCONE: Supernova Classification with a Convolutional Neural Network
Helen Qu, Masao Sako, Anais Möller +1
We present a novel method of classifying Type Ia supernovae using convolutional neural networks, a neural network framework typically used for image recognition. Our model is train…
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…