Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2407.11901
Cited By
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
16 July 2024
Hyemin Gu
M. Katsoulakis
Luc Rey-Bellet
Benjamin J. Zhang
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows"
4 / 4 papers shown
Title
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization
Kelvin Kan
Xingjian Li
Stanley Osher
89
2
0
30 Jan 2025
Gradient flow in parameter space is equivalent to linear interpolation in output space
Thomas Chen
Patrícia Muñoz Ewald
17
1
0
02 Aug 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization
Benjamin J. Zhang
Siting Liu
Wuchen Li
M. Katsoulakis
Stanley J. Osher
DiffM
27
8
0
09 Feb 2024
Function-space regularized Rényi divergences
Jeremiah Birrell
Yannis Pantazis
P. Dupuis
M. Katsoulakis
Luc Rey-Bellet
30
6
0
10 Oct 2022
1