UNCOVERING THE PHYSICS OF GALAXIES WITH SELF-SUPERVISED DEEP LEARNING
As surveys grow, the challenge is how to explore and interpret the increasing quantity of data. For this, removing the observational biases and reducing the dimensionality of the data are fundamental. A promising avenue to do this is a self-supervised deep learning algorithm called contrastive learning. Contrastive learning is especially effective
Regina Sarmiento
Fecha de publicación:
12
2023