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A universal approximation theorem of deep neural networks for expressing probability distributions
This paper studies the universal approximation property of deep neural networks for
representing probability distributions. Given a target distribution $\pi $ and a source …
representing probability distributions. Given a target distribution $\pi $ and a source …
[HTML][HTML] Domain adaptive semantic segmentation by optimal transport
Y Guo, X Wang, C Li, S Ying - Fundamental Research, 2023 - Elsevier
Scene segmentation is widely used in autonomous driving for environmental perception.
Semantic scene segmentation has gained considerable attention owing to its rich semantic …
Semantic scene segmentation has gained considerable attention owing to its rich semantic …
A geometric understanding of deep learning
This work introduces an optimal transportation (OT) view of generative adversarial networks
(GANs). Natural datasets have intrinsic patterns, which can be summarized as the manifold …
(GANs). Natural datasets have intrinsic patterns, which can be summarized as the manifold …
A geometric view of optimal transportation and generative model
In this work, we give a geometric interpretation to the Generative Adversarial Networks
(GANs). The geometric view is based on the intrinsic relation between Optimal Mass …
(GANs). The geometric view is based on the intrinsic relation between Optimal Mass …
A Numerical Algorithm for Semi-Discrete Optimal Transport in 3D
B Lévy - ESAIM: Mathematical Modelling and Numerical …, 2015 - numdam.org
This paper introduces a numerical algorithm to compute the L2 optimal transport map
between two measures μ and ν, where μ derives from a density ρ defined as a piecewise …
between two measures μ and ν, where μ derives from a density ρ defined as a piecewise …
3D brain tumor segmentation using a two-stage optimal mass transport algorithm
Optimal mass transport (OMT) theory, the goal of which is to move any irregular 3D object
(ie, the brain) without causing significant distortion, is used to preprocess brain tumor …
(ie, the brain) without causing significant distortion, is used to preprocess brain tumor …
Optimal transport: discretization and algorithms
This chapter describes techniques for the numerical resolution of optimal transport
problems. We will consider several discretizations of these problems, and we will put a …
problems. We will consider several discretizations of these problems, and we will put a …
Notions of optimal transport theory and how to implement them on a computer
B Lévy, EL Schwindt - Computers & Graphics, 2018 - Elsevier
This article gives an introduction to optimal transport, a mathematical theory that makes it
possible to measure distances between functions (or distances between more general …
possible to measure distances between functions (or distances between more general …
Earth mover's distances on discrete surfaces
J Solomon, R Rustamov, L Guibas… - ACM Transactions on …, 2014 - dl.acm.org
We introduce a novel method for computing the earth mover's distance (EMD) between
probability distributions on a discrete surface. Rather than using a large linear program with …
probability distributions on a discrete surface. Rather than using a large linear program with …
Optimal mass transport for shape matching and comparison
Surface based 3D shape analysis plays a fundamental role in computer vision and medical
imaging. This work proposes to use optimal mass transport map for shape matching and …
imaging. This work proposes to use optimal mass transport map for shape matching and …