Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions

In this manuscript, we pursue this enterprise in the context of a commonly used model for high-dimensional classification problems: the Gaussian mixture. Indeed, it has been recently argued that the features learned by deep neural networks trained on the cross-entropy loss "collapse" in a