How does training shape the Riemannian geometry of neural network representations?

Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien +1

In machine learning, there is a long history of trying to build neural networks that can learn from fewer example data by baking in strong geometric priors. However, it is not alwa…