Will we be able to exploit all of the information content of
Euclid?
$\Longrightarrow$ Not rightaway, but it is not the fault of Deep
Learning!

Deep Learning has redefined the limits of our statistical
tools, creating
additional demand on the accuracy of simulations far
beyond the power spectrum.

Neural compression methods have the downside of being opaque.
It is much harder to detect unknown systematics.

We will need a significant number of
large volume, high resolution simulations.