2 papers
math.DG2019
Discretized Gradient Flow for Manifold Learning in the Space of Embeddings
Dara Gold, Steven Rosenberg
Gradient descent, or negative gradient flow, is a standard technique in optimization to find minima of functions. Many implementations of gradient descent rely on discretized versi…
math.DG2015
Gradient Flows of Penalty Functions in the Space of Smooth Embeddings
Dara Gold
Motivated by manifold learning techniques, we give an explicit lower bound for how far a smoothly embedded compact submanifold in can move in a normal direction and…