Interpretability of deep-learning methods applied to large-scale structure surveys

Gaspard Aymerich, Tomasz Kacprzak, Alexandre Refregier

Deep learning and convolutional neural networks in particular are powerful and promising tools for cosmological analysis of large-scale structure surveys. They are already providin…