Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels

27 January 2023

Papers citing "Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels"

9 / 9 papers shown

Title
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 58 2 0 29 Jul 2024
Manifold learning in Wasserstein space Keaton Hamm Caroline Moosmüller Bernhard Schmitzer Matthew Thorpe 64 5 0 14 Nov 2023
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 159 94 0 28 Jan 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 101 56 0 04 Dec 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 53 54 0 01 Jun 2021
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 65 24 0 14 Jul 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 85 181 0 16 Feb 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 129 3,803 0 12 Jul 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 250 611 0 22 Sep 2016