As the field of deep learning experiences a meteoric rise, the urgency to decipher the
complex geometric properties of feature spaces, which underlie the effectiveness of diverse …

Most works studying representation learning focus only on classification and neglect
regression. Yet, the learning objectives and therefore the representation topologies of the …

To gain insight into the mechanisms behind machine learning methods, it is crucial to
establish connections among the features describing data points. However, these …