1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Deep Invertible Approximation of Topologically Rich Maps between Manifolds
Michael Puthawala, Matti Lassas, Ivan Dokmanic +2
How can we design neural networks that allow for stable universal approximation of maps between topologically interesting manifolds? The answer is with a coordinate projection. Neu…
math.OC2019
Unnormalized Optimal Transport
Wilfrid Gangbo, Wuchen Li, Stanley Osher +1
We propose an extension of the computational fluid mechanics approach to the Monge-Kantorovich mass transfer problem, which was developed by Benamou-Brenier. Our extension allows o…