Collaborations

UCLA

Modes of Homogeneous Gradient Flows

Ido Cohen et al. SIAM Finding latent structures in data is drawing increasing attention in diverse fields such as image and signal processing, fluid dynamics, and machine learning. In this work we examine the problem of finding the main modes of gradient flows. Gradient descent is a fundamental process in optimization where its stochastic version […]